From 49968691ccf023b40b0c435374d52df039308cd3 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Thu, 11 Aug 2022 16:49:19 +0200 Subject: [PATCH 01/31] Fix traces table filtering for string arguments --- great_ai/persistence/parallel_tinydb_driver.py | 9 +++++++-- great_ai/views/trace.py | 4 +++- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/great_ai/persistence/parallel_tinydb_driver.py b/great_ai/persistence/parallel_tinydb_driver.py index e648477..c278549 100644 --- a/great_ai/persistence/parallel_tinydb_driver.py +++ b/great_ai/persistence/parallel_tinydb_driver.py @@ -67,7 +67,7 @@ class ParallelTinyDbDriver(TracingDatabaseDriver): if not documents: return [], 0 - df = pd.DataFrame(documents) + df = pd.DataFrame([Trace.parse_obj(d).to_flat_dict() for d in documents]) for f in conjunctive_filters: operator = f.operator.lower() @@ -76,7 +76,12 @@ class ParallelTinyDbDriver(TracingDatabaseDriver): getattr(df[f.property], operator_mapping[f.operator])(f.value) ] elif operator == "contains": - df = df.loc[df[f.property].str.contains(f.value, case=False)] + df = df.loc[ + df[f.property].str.contains( + str(int(f.value)) if isinstance(f.value, float) else f.value, + case=False, + ) + ] if sort_by: df.sort_values( diff --git a/great_ai/views/trace.py b/great_ai/views/trace.py index fa71d81..76f03f5 100644 --- a/great_ai/views/trace.py +++ b/great_ai/views/trace.py @@ -88,7 +88,9 @@ class Trace(Generic[T], HashableBaseModel): } ), **{ - k: pformat(v, indent=2, compact=True) + k: v + if (isinstance(v, float) or isinstance(v, int)) + else pformat(v, indent=2, compact=True) for k, v in self.logged_values.items() }, "models_flat": self.models_flat, From 682812e0160a79d25431d362aed9ffb01fad8e6a Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 13 Aug 2022 13:35:30 +0200 Subject: [PATCH 02/31] Add survey results --- docs/surveys/Best practices assessment.csv | 11 + ...hnology acceptance model questionnaire.csv | 11 + docs/surveys/surveys.ipynb | 1167 +++++++++++++++++ 3 files changed, 1189 insertions(+) create mode 100644 docs/surveys/Best practices assessment.csv create mode 100644 docs/surveys/Technology acceptance model questionnaire.csv create mode 100644 docs/surveys/surveys.ipynb diff --git a/docs/surveys/Best practices assessment.csv b/docs/surveys/Best practices assessment.csv new file mode 100644 index 0000000..afb7896 --- /dev/null +++ b/docs/surveys/Best practices assessment.csv @@ -0,0 +1,11 @@ +"How many years of software engineering experience do you have?","How many years of data science experience do you have?","Write reusable scripts for data cleaning and merging","Make datasets available on shared infrastructure","Use versioning for data, model, configurations and training scripts","Continuously monitor the behaviour of deployed models","Log production predictions with the model’s version and input data","Store models in a single format for ease of use","Equip with web interface, package image, provide REST API","Provide simple API for serving batch and real-time requests","Integration with existing data infrastructure","Querying, visualising and understanding metrics and event logging","Allow experimentation with the inference code","Keep the model’s API and documentation together","Parallelise feature extraction","Cache predictions","Async support for top-down chaining models" +"3","1","Strongly agree","Agree","Strongly agree","Neither agree nor disagree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Strongly agree","Neither agree nor disagree","Strongly agree" +"6","2","Neither agree nor disagree","Agree","Neither agree nor disagree","Agree","Agree","Neither agree nor disagree","Disagree","Strongly disagree","Disagree","Strongly disagree","Disagree","Strongly disagree","Disagree","Strongly agree","Strongly disagree" +"1","5","Strongly disagree","Disagree","Disagree","Strongly disagree","Disagree","Strongly disagree","Strongly disagree","Neither agree nor disagree","Strongly disagree","Disagree","Neither agree nor disagree","Agree","Strongly disagree","Strongly disagree","Disagree" +"3","3","Agree","Agree","Disagree","Neither agree nor disagree","Agree","Not applicable","Not applicable","Neither agree nor disagree","Agree","Disagree","Agree","Strongly agree","Not applicable","Neither agree nor disagree","Agree" +"1","7","Neither agree nor disagree","Disagree","Neither agree nor disagree","Disagree","Strongly disagree","Not applicable","Not applicable","Disagree","Strongly disagree","Disagree","Disagree","Neither agree nor disagree","Strongly disagree","Strongly agree","Not applicable" +"6","0","Strongly agree","Strongly agree","Agree","Neither agree nor disagree","Agree","Strongly agree","Agree","Strongly agree","Agree","Strongly agree","Disagree","Strongly agree","Agree","Strongly agree","Not applicable" +"2","2","Disagree","Neither agree nor disagree","Agree","Strongly agree","Neither agree nor disagree","Disagree","Strongly agree","Disagree","Disagree","Agree","Neither agree nor disagree","Neither agree nor disagree","Not applicable","Disagree","Strongly agree" +"1","2","Disagree","Neither agree nor disagree","Disagree","Agree","Disagree","Strongly disagree","Strongly agree","Strongly agree","Strongly disagree","Disagree","Agree","Strongly disagree","Not applicable","Strongly disagree","Strongly disagree" +"0","1","Strongly disagree","Disagree","Strongly disagree","Disagree","Strongly disagree","Disagree","Agree","Strongly disagree","Disagree","Strongly disagree","Disagree","Strongly disagree","Disagree","Disagree","Strongly disagree" +"7","1","Strongly agree","Strongly agree","Agree","Strongly agree","Agree","Agree","Strongly agree","Strongly disagree","Strongly agree","Not applicable","Agree","Agree","Strongly agree","Strongly agree","Agree" \ No newline at end of file diff --git a/docs/surveys/Technology acceptance model questionnaire.csv b/docs/surveys/Technology acceptance model questionnaire.csv new file mode 100644 index 0000000..27537b5 --- /dev/null +++ b/docs/surveys/Technology acceptance model questionnaire.csv @@ -0,0 +1,11 @@ +"I believe the use of GreatAI improves the quality of AI deployments.","I believe the use of GreatAI would increase my productivity.","I believe the use of GreatAI can lead to robust and trustworthy deployments.","Overall, I found GreatAI useful when working with AI.","I found the GreatAI easy to learn.","I found it is easy to employ GreatAI in practice.","I found it is easy to integrate GreatAI into an existing project.","Overall, I found GreatAI easy to use.","Assuming GreatAI is applicable to my task, I predict that I will use it on a regular basis in the future.","Overall, I intend to use the GreatAI in my personal or professional projects." +"7","7","7","7","7","7","7","7","7","7" +"7","7","6","7","5","6","7","6","7","7" +"4","4","5","6","6","5","4","4","5","4" +"6","7","6","7","7","6","7","6","7","6" +"7","7","6","7","4","5","5","5","6","6" +"6","6","6","6","6","6","6","6","6","6" +"6","6","6","4","5","7","6","6","7","7" +"7","6","6","6","4","5","3","5","5","6" +"4","5","5","5","7","2","3","3","3","3" +"7","7","7","7","5","6","5","6","7","7" \ No newline at end of file diff --git a/docs/surveys/surveys.ipynb b/docs/surveys/surveys.ipynb new file mode 100644 index 0000000..34d90d4 --- /dev/null +++ b/docs/surveys/surveys.ipynb @@ -0,0 +1,1167 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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How many years of software engineering experience do you have?How many years of data science experience do you have?Write reusable scripts for data cleaning and mergingMake datasets available on shared infrastructureUse versioning for data, model, configurations and training scriptsContinuously monitor the behaviour of deployed modelsLog production predictions with the model’s version and input dataStore models in a single format for ease of useEquip with web interface, package image, provide REST APIProvide simple API for serving batch and real-time requestsIntegration with existing data infrastructureQuerying, visualising and understanding metrics and event loggingAllow experimentation with the inference codeKeep the model’s API and documentation togetherParallelise feature extractionCache predictionsAsync support for top-down chaining models
031Strongly agreeAgreeStrongly agreeNeither agree nor disagreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeStrongly agreeNeither agree nor disagreeStrongly agree
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215Strongly disagreeDisagreeDisagreeStrongly disagreeDisagreeStrongly disagreeStrongly disagreeNeither agree nor disagreeStrongly disagreeDisagreeNeither agree nor disagreeAgreeStrongly disagreeStrongly disagreeDisagree
333AgreeAgreeDisagreeNeither agree nor disagreeAgreeNot applicableNot applicableNeither agree nor disagreeAgreeDisagreeAgreeStrongly agreeNot applicableNeither agree nor disagreeAgree
417Neither agree nor disagreeDisagreeNeither agree nor disagreeDisagreeStrongly disagreeNot applicableNot applicableDisagreeStrongly disagreeDisagreeDisagreeNeither agree nor disagreeStrongly disagreeStrongly agreeNot applicable
560Strongly agreeStrongly agreeAgreeNeither agree nor disagreeAgreeStrongly agreeAgreeStrongly agreeAgreeStrongly agreeDisagreeStrongly agreeAgreeStrongly agreeNot applicable
622DisagreeNeither agree nor disagreeAgreeStrongly agreeNeither agree nor disagreeDisagreeStrongly agreeDisagreeDisagreeAgreeNeither agree nor disagreeNeither agree nor disagreeNot applicableDisagreeStrongly agree
712DisagreeNeither agree nor disagreeDisagreeAgreeDisagreeStrongly disagreeStrongly agreeStrongly agreeStrongly disagreeDisagreeAgreeStrongly disagreeNot applicableStrongly disagreeStrongly disagree
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971Strongly agreeStrongly agreeAgreeStrongly agreeAgreeAgreeStrongly agreeStrongly disagreeStrongly agreeNot applicableAgreeAgreeStrongly agreeStrongly agreeAgree
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" + ], + "text/plain": [ + " How many years of software engineering experience do you have? \\\n", + "0 3 \n", + "1 6 \n", + "2 1 \n", + "3 3 \n", + "4 1 \n", + "5 6 \n", + "6 2 \n", + "7 1 \n", + "8 0 \n", + "9 7 \n", + "\n", + " How many years of data science experience do you have? \\\n", + "0 1 \n", + "1 2 \n", + "2 5 \n", + "3 3 \n", + "4 7 \n", + "5 0 \n", + "6 2 \n", + "7 2 \n", + "8 1 \n", + "9 1 \n", + "\n", + " Write reusable scripts for data cleaning and merging \\\n", + "0 Strongly agree \n", + "1 Neither agree nor disagree \n", + "2 Strongly disagree \n", + "3 Agree \n", + "4 Neither agree nor disagree \n", + "5 Strongly agree \n", + "6 Disagree \n", + "7 Disagree \n", + "8 Strongly disagree \n", + "9 Strongly agree \n", + "\n", + " Make datasets available on shared infrastructure \\\n", + "0 Agree \n", + "1 Agree \n", + "2 Disagree \n", + "3 Agree \n", + "4 Disagree \n", + "5 Strongly agree \n", + "6 Neither agree nor disagree \n", + "7 Neither agree nor disagree \n", + "8 Disagree \n", + "9 Strongly agree \n", + "\n", + " Use versioning for data, model, configurations and training scripts \\\n", + "0 Strongly agree \n", + "1 Neither agree nor disagree \n", + "2 Disagree \n", + "3 Disagree \n", + "4 Neither agree nor disagree \n", + "5 Agree \n", + "6 Agree \n", + "7 Disagree \n", + "8 Strongly disagree \n", + "9 Agree \n", + "\n", + " Continuously monitor the behaviour of deployed models \\\n", + "0 Neither agree nor disagree \n", + "1 Agree \n", + "2 Strongly disagree \n", + "3 Neither agree nor disagree \n", + "4 Disagree \n", + "5 Neither agree nor disagree \n", + "6 Strongly agree \n", + "7 Agree \n", + "8 Disagree \n", + "9 Strongly agree \n", + "\n", + " Log production predictions with the model’s version and input data \\\n", + "0 Strongly agree \n", + "1 Agree \n", + "2 Disagree \n", + "3 Agree \n", + "4 Strongly disagree \n", + "5 Agree \n", + "6 Neither agree nor disagree \n", + "7 Disagree \n", + "8 Strongly disagree \n", + "9 Agree \n", + "\n", + " Store models in a single format for ease of use \\\n", + "0 Strongly agree \n", + "1 Neither agree nor disagree \n", + "2 Strongly disagree \n", + "3 Not applicable \n", + "4 Not applicable \n", + "5 Strongly agree \n", + "6 Disagree \n", + "7 Strongly disagree \n", + "8 Disagree \n", + "9 Agree \n", + "\n", + " Equip with web interface, package image, provide REST API \\\n", + "0 Strongly agree \n", + "1 Disagree \n", + "2 Strongly disagree \n", + "3 Not applicable \n", + "4 Not applicable \n", + "5 Agree \n", + "6 Strongly agree \n", + "7 Strongly agree \n", + "8 Agree \n", + "9 Strongly agree \n", + "\n", + " Provide simple API for serving batch and real-time requests \\\n", + "0 Strongly agree \n", + "1 Strongly disagree \n", + "2 Neither agree nor disagree \n", + "3 Neither agree nor disagree \n", + "4 Disagree \n", + "5 Strongly agree \n", + "6 Disagree \n", + "7 Strongly agree \n", + "8 Strongly disagree \n", + "9 Strongly disagree \n", + "\n", + " Integration with existing data infrastructure \\\n", + "0 Strongly agree \n", + "1 Disagree \n", + "2 Strongly disagree \n", + "3 Agree \n", + "4 Strongly disagree \n", + "5 Agree \n", + "6 Disagree \n", + "7 Strongly disagree \n", + "8 Disagree \n", + "9 Strongly agree \n", + "\n", + " Querying, visualising and understanding metrics and event logging \\\n", + "0 Strongly agree \n", + "1 Strongly disagree \n", + "2 Disagree \n", + "3 Disagree \n", + "4 Disagree \n", + "5 Strongly agree \n", + "6 Agree \n", + "7 Disagree \n", + "8 Strongly disagree \n", + "9 Not applicable \n", + "\n", + " Allow experimentation with the inference code \\\n", + "0 Strongly agree \n", + "1 Disagree \n", + "2 Neither agree nor disagree \n", + "3 Agree \n", + "4 Disagree \n", + "5 Disagree \n", + "6 Neither agree nor disagree \n", + "7 Agree \n", + "8 Disagree \n", + "9 Agree \n", + "\n", + " Keep the model’s API and documentation together \\\n", + "0 Strongly agree \n", + "1 Strongly disagree \n", + "2 Agree \n", + "3 Strongly agree \n", + "4 Neither agree nor disagree \n", + "5 Strongly agree \n", + "6 Neither agree nor disagree \n", + "7 Strongly disagree \n", + "8 Strongly disagree \n", + "9 Agree \n", + "\n", + " Parallelise feature extraction Cache predictions \\\n", + "0 Strongly agree Neither agree nor disagree \n", + "1 Disagree Strongly agree \n", + "2 Strongly disagree Strongly disagree \n", + "3 Not applicable Neither agree nor disagree \n", + "4 Strongly disagree Strongly agree \n", + "5 Agree Strongly agree \n", + "6 Not applicable Disagree \n", + "7 Not applicable Strongly disagree \n", + "8 Disagree Disagree \n", + "9 Strongly agree Strongly agree \n", + "\n", + " Async support for top-down chaining models \n", + "0 Strongly agree \n", + "1 Strongly disagree \n", + "2 Disagree \n", + "3 Agree \n", + "4 Not applicable \n", + "5 Not applicable \n", + "6 Strongly agree \n", + "7 Strongly disagree \n", + "8 Strongly disagree \n", + "9 Agree " + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "best_practices = pd.read_csv(\"Best practices assessment.csv\")\n", + "best_practices" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "m = {\n", + " \"Strongly agree\": 4 / 4,\n", + " \"Agree\": 3 / 4,\n", + " \"Neither agree nor disagree\": 2 / 4,\n", + " \"Disagree\": 1 / 4,\n", + " \"Strongly disagree\": 0 / 4,\n", + "}\n", + "\n", + "best_practices_dicts = [v.to_dict() for _, v in best_practices.iterrows()]\n", + "\n", + "best_practice_score_ds = []\n", + "best_practice_score_se = []\n", + "\n", + "for d in best_practices_dicts:\n", + " ds_experience = int(d[\"How many years of data science experience do you have?\"])\n", + " del d[\"How many years of data science experience do you have?\"]\n", + "\n", + " se_experience = int(\n", + " d[\"How many years of software engineering experience do you have?\"]\n", + " )\n", + " del d[\"How many years of software engineering experience do you have?\"]\n", + "\n", + " scores = [m[v] for v in d.values() if v != \"Not applicable\"]\n", + " score = sum(scores) / len(scores)\n", + " best_practice_score_ds.append((ds_experience, score))\n", + " best_practice_score_se.append((se_experience, score))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.5440527060340572, 0.10399880919437814)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from scipy import stats\n", + "\n", + "best_practice_score_ds = sorted(best_practice_score_ds)\n", + "plt.scatter(\n", + " [x for x, y in best_practice_score_ds], [y for x, y in best_practice_score_ds]\n", + ")\n", + "stats.pearsonr(\n", + " [x for x, y in best_practice_score_ds], [y for x, y in best_practice_score_ds]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.6722543326178704, 0.03321124881554773)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "best_practice_score_se = sorted(best_practice_score_se)\n", + "\n", + "\n", + "plt.scatter(\n", + " [x for x, y in best_practice_score_se], [y for x, y in best_practice_score_se]\n", + ")\n", + "stats.pearsonr(\n", + " [x for x, y in best_practice_score_se], [y for x, y in best_practice_score_se]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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I believe the use of GreatAI improves the quality of AI deployments.I believe the use of GreatAI would increase my productivity.I believe the use of GreatAI can lead to robust and trustworthy deployments.Overall, I found GreatAI useful when working with AI.I found the GreatAI easy to learn.I found it is easy to employ GreatAI in practice.I found it is easy to integrate GreatAI into an existing project.Overall, I found GreatAI easy to use.Assuming GreatAI is applicable to my task, I predict that I will use it on a regular basis in the future.Overall, I intend to use the GreatAI in my personal or professional projects.
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" + ], + "text/plain": [ + " I believe the use of GreatAI improves the quality of AI deployments. \\\n", + "0 7 \n", + "1 7 \n", + "2 4 \n", + "3 6 \n", + "4 7 \n", + "5 6 \n", + "6 6 \n", + "7 7 \n", + "8 4 \n", + "9 7 \n", + "\n", + " I believe the use of GreatAI would increase my productivity. \\\n", + "0 7 \n", + "1 7 \n", + "2 4 \n", + "3 7 \n", + "4 7 \n", + "5 6 \n", + "6 6 \n", + "7 6 \n", + "8 5 \n", + "9 7 \n", + "\n", + " I believe the use of GreatAI can lead to robust and trustworthy deployments. \\\n", + "0 7 \n", + "1 6 \n", + "2 5 \n", + "3 6 \n", + "4 6 \n", + "5 6 \n", + "6 6 \n", + "7 6 \n", + "8 5 \n", + "9 7 \n", + "\n", + " Overall, I found GreatAI useful when working with AI. \\\n", + "0 7 \n", + "1 7 \n", + "2 6 \n", + "3 7 \n", + "4 7 \n", + "5 6 \n", + "6 4 \n", + "7 6 \n", + "8 5 \n", + "9 7 \n", + "\n", + " I found the GreatAI easy to learn. \\\n", + "0 7 \n", + "1 5 \n", + "2 6 \n", + "3 7 \n", + "4 4 \n", + "5 6 \n", + "6 5 \n", + "7 4 \n", + "8 7 \n", + "9 5 \n", + "\n", + " I found it is easy to employ GreatAI in practice. \\\n", + "0 7 \n", + "1 6 \n", + "2 5 \n", + "3 6 \n", + "4 5 \n", + "5 6 \n", + "6 7 \n", + "7 5 \n", + "8 2 \n", + "9 6 \n", + "\n", + " I found it is easy to integrate GreatAI into an existing project. \\\n", + "0 7 \n", + "1 7 \n", + "2 4 \n", + "3 7 \n", + "4 5 \n", + "5 6 \n", + "6 6 \n", + "7 3 \n", + "8 3 \n", + "9 5 \n", + "\n", + " Overall, I found GreatAI easy to use. \\\n", + "0 7 \n", + "1 6 \n", + "2 4 \n", + "3 6 \n", + "4 5 \n", + "5 6 \n", + "6 6 \n", + "7 5 \n", + "8 3 \n", + "9 6 \n", + "\n", + " Assuming GreatAI is applicable to my task, I predict that I will use it on a regular basis in the future. \\\n", + "0 7 \n", + "1 7 \n", + "2 5 \n", + "3 7 \n", + "4 6 \n", + "5 6 \n", + "6 7 \n", + "7 5 \n", + "8 3 \n", + "9 7 \n", + "\n", + " Overall, I intend to use the GreatAI in my personal or professional projects. \n", + "0 7 \n", + "1 7 \n", + "2 4 \n", + "3 6 \n", + "4 6 \n", + "5 6 \n", + "6 7 \n", + "7 6 \n", + "8 3 \n", + "9 7 " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tam = pd.read_csv(\"Technology acceptance model questionnaire.csv\")\n", + "tam" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8813771517996869, array([0.688, 0.967]))" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pingouin\n", + "\n", + "pu = [\n", + " \"I believe the use of GreatAI improves the quality of AI deployments.\",\n", + " \"I believe the use of GreatAI would increase my productivity.\",\n", + " \"I believe the use of GreatAI can lead to robust and trustworthy deployments.\",\n", + " \"Overall, I found GreatAI useful when working with AI.\",\n", + "]\n", + "pingouin.cronbach_alpha(tam[pu])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.7729220222793487, array([0.403, 0.937]))" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "peou = [\n", + " \"I found the GreatAI easy to learn.\",\n", + " \"I found it is easy to employ GreatAI in practice.\",\n", + " \"I found it is easy to integrate GreatAI into an existing project.\",\n", + " \"Overall, I found GreatAI easy to use.\",\n", + "]\n", + "pingouin.cronbach_alpha(tam[peou])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.9538950715421304, array([0.814, 0.989]))" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "itu = [\n", + " \"Assuming GreatAI is applicable to my task, I predict that I will use it on a regular basis in the future.\",\n", + " \"Overall, I intend to use the GreatAI in my personal or professional projects.\",\n", + "]\n", + "pingouin.cronbach_alpha(tam[itu])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " pu peou itu\n", + "0 7.00 7.00 7.0\n", + "1 6.75 6.00 7.0\n", + "2 4.75 4.75 4.5\n", + "3 6.50 6.50 6.5\n", + "4 6.75 4.75 6.0\n", + "5 6.00 6.00 6.0\n", + "6 5.50 6.00 7.0\n", + "7 6.25 4.25 5.5\n", + "8 4.75 3.75 3.0\n", + "9 7.00 5.50 7.0" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tam[\"pu\"] = tam[pu].mean(1)\n", + "tam[\"peou\"] = tam[peou].mean(1)\n", + "tam[\"itu\"] = tam[itu].mean(1)\n", + "tam[[\"pu\", \"peou\", \"itu\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.5515422017785757, 0.09838124227663879)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats.pearsonr(tam[\"peou\"], tam[\"pu\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8066270322592023, 0.004809023073123024)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats.pearsonr(tam[\"peou\"], tam[\"itu\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.7880605510627579, 0.006774486564715021)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats.pearsonr(tam[\"pu\"], tam[\"itu\"])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.4 ('.env': venv)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": 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do you have?\"\n", + "].median(), best_practices[\n", + " \"How many years of data science experience do you have?\"\n", + "].median()" ] }, { @@ -548,24 +565,59 @@ }, { "data": { - "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ + "import re\n", + "\n", "best_practice_score_se = sorted(best_practice_score_se)\n", "\n", + "%matplotlib inline\n", + "plt.rcParams[\"figure.facecolor\"] = \"white\"\n", + "plt.rcParams[\"font.size\"] = 24\n", + "plt.rcParams[\"figure.figsize\"] = (14, 10)\n", "\n", - "plt.scatter(\n", - " [x for x, y in best_practice_score_se], [y for x, y in best_practice_score_se]\n", + "X = [x for x, y in best_practice_score_se]\n", + "Y = [y for x, y in best_practice_score_se]\n", + "sc = plt.scatter(X, Y, c=\"black\", s=[x * 50 for x, y in best_practice_score_ds])\n", + "plt.ylabel(\"Ratio of implemented deployment best practices\")\n", + "plt.xlabel(\"Years of professional software engineering experience\")\n", + "\n", + "\n", + "def best_fit(X, Y):\n", + " xbar = sum(X) / len(X)\n", + " ybar = sum(Y) / len(Y)\n", + " n = len(X)\n", + "\n", + " numer = sum([xi * yi for xi, yi in zip(X, Y)]) - n * xbar * ybar\n", + " denum = sum([xi**2 for xi in X]) - n * xbar**2\n", + "\n", + " b = numer / denum\n", + " a = ybar - b * xbar\n", + " return a, b\n", + "\n", + "\n", + "a, b = best_fit(X, Y)\n", + "yfit = [a + b * xi for xi in X]\n", + "plt.plot(X, yfit, \"b\", label=\"Best fit\")\n", + "plt.legend(\n", + " sc.legend_elements(\"sizes\", num=5)[0],\n", + " [\n", + " re.sub(r\"[^\\d]*(\\d+)[^\\d]*\", lambda v: f\"{int(v.group(1)) // 40} years (DS)\", t)\n", + " for t in sc.legend_elements(\"sizes\", num=5)[1]\n", + " ],\n", ")\n", + "plt.tight_layout()\n", + "\n", + "plt.savefig(\"best-practices\", dpi=150)\n", + "\n", "stats.pearsonr(\n", " [x for x, y in best_practice_score_se], [y for x, y in best_practice_score_se]\n", ")" From 955f0ceacc1b669a72883399c922673468be2819 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 13 Aug 2022 16:55:23 +0200 Subject: [PATCH 04/31] Fix error on missing app --- great_ai/__main__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/great_ai/__main__.py b/great_ai/__main__.py index 912afe5..bea5f9c 100644 --- a/great_ai/__main__.py +++ b/great_ai/__main__.py @@ -175,6 +175,7 @@ def find_app(file_name: str) -> Optional[str]: finally: logging.disable(logging.NOTSET) + app_name = None for name, value in module.__dict__.items(): if isinstance(value, GreatAI): app_name = name From 2f750c24784857239739d4cc808b067a587b0a69 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 13 Aug 2022 16:55:34 +0200 Subject: [PATCH 05/31] Fix error messages --- great_ai/__main__.py | 2 +- great_ai/helper/assert_function_is_not_finalised.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/great_ai/__main__.py b/great_ai/__main__.py index bea5f9c..ec4915d 100644 --- a/great_ai/__main__.py +++ b/great_ai/__main__.py @@ -184,7 +184,7 @@ def find_app(file_name: str) -> Optional[str]: logger.info(f"Found `{app_name}` to be the GreatAI app ") else: raise MissingArgumentError( - "GreatAI app could not be found, make sure to use `@GreatAI.deploy` on your prediction function" + "GreatAI app could not be found, make sure to use `@GreatAI.create` on your prediction function" ) return f"{file_name}:{app_name}.app" diff --git a/great_ai/helper/assert_function_is_not_finalised.py b/great_ai/helper/assert_function_is_not_finalised.py index 08da383..0d6f950 100644 --- a/great_ai/helper/assert_function_is_not_finalised.py +++ b/great_ai/helper/assert_function_is_not_finalised.py @@ -6,8 +6,8 @@ from .get_function_metadata_store import get_function_metadata_store def assert_function_is_not_finalised(func: Callable) -> None: error_message = ( - "The outer-most (first) decorator has to be `@GreatAI.deploy`. " - + f"In the case of `{func.__name__}`, it is not: fix this by moving `@GreatAI.deploy` to the top." + "The outer-most (first) decorator has to be `@GreatAI.create`. " + + f"In the case of `{func.__name__}`, it is not: fix this by moving `@GreatAI.create` to the top." ) if get_function_metadata_store(func).is_finalised: From 3a1c3d40dea13fdbc2ba6ce0635b70e271c62c4f Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 13 Aug 2022 16:55:52 +0200 Subject: [PATCH 06/31] Sanitize large-file filenames --- great_ai/large_file/large_file/large_file_base.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/great_ai/large_file/large_file/large_file_base.py b/great_ai/large_file/large_file/large_file_base.py index 7671503..005f185 100644 --- a/great_ai/large_file/large_file/large_file_base.py +++ b/great_ai/large_file/large_file/large_file_base.py @@ -1,4 +1,5 @@ import os +import re import shutil import sys import tempfile @@ -63,7 +64,7 @@ class LargeFileBase(ABC): keep_last_n: Optional[int] = None, cache_only_mode: bool = False, ): - self._name = name + self._name = re.sub(r"[^a-zA-Z0-9._-]+", "", name) self._version = version self._mode = mode self._keep_last_n = keep_last_n From 7d3fcc070526867c256764e1da8c55e61f746d3f Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 13 Aug 2022 16:56:13 +0200 Subject: [PATCH 07/31] Bump version --- great_ai/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/great_ai/__init__.py b/great_ai/__init__.py index 54f0e1a..da7dba8 100644 --- a/great_ai/__init__.py +++ b/great_ai/__init__.py @@ -1,6 +1,6 @@ """Transform your prototype AI code into production-ready software.""" -__version__ = "0.1.10" +__version__ = "0.1.11" from .context import configure From 35d400a9ed83a5b7febdc23c7d00722398ca1e4f Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 14 Aug 2022 20:36:06 +0200 Subject: [PATCH 08/31] Add some results improve grammar --- docs/thesis/chapters/0_abstract.tex | 6 +- docs/thesis/chapters/1_introduction.tex | 18 +-- docs/thesis/chapters/2_background.tex | 38 ++--- docs/thesis/chapters/3_methods.tex | 18 +-- docs/thesis/chapters/4_design.tex | 50 +++---- docs/thesis/chapters/5_cases/main.tex | 10 +- docs/thesis/chapters/5_cases/naive-bayes.tex | 50 +++---- docs/thesis/chapters/5_cases/scibert.tex | 46 +++--- docs/thesis/chapters/6_results.tex | 146 +++++++++++++++++-- docs/thesis/chapters/7_conclusion.tex | 6 +- docs/thesis/chapters/appendix.tex | 8 +- docs/thesis/figures/best-practices.png | Bin 0 -> 168740 bytes docs/thesis/main.tex | 13 +- 13 files changed, 268 insertions(+), 141 deletions(-) create mode 100644 docs/thesis/figures/best-practices.png diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index 9316d79..e3d3ecf 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -1,11 +1,11 @@ \begin{abstract} \absdiv{Background} -Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption; partly thanks to the prevalence of frameworks accessibly exposing state-of-the-art models. In order to achieve robust production deployments, the successful integration of AI components demands strong engineering methods. Concerningly, a tendency seems to be unfolding: even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. +Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of frameworks accessibly exposing state-of-the-art models. In order to achieve robust production deployments, the successful integration of AI components demands strong engineering methods. Concerningly, a tendency seems to be unfolding: even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. \absdiv{Objective} -This thesis sets out to investigate the reasons behind the asymmetry between the adoption of accessible AI libraries and existing reusable solutions to robust deployments. A software framework called \textit{GreatAI} is designed which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy AI deployments while attempting to overcome the practical drawbacks of its predecessors. +This thesis investigates the reasons behind the asymmetry between the adoption of accessible AI libraries and existing reusable solutions to robust deployments. A software framework called \textit{GreatAI} is designed which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy AI deployments while attempting to overcome the practical drawbacks of its predecessors. \absdiv{Method} -The utility of \textit{GreatAI} is validated by applying the principles of design science methodology through iteratively designing it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with practitioners for validating the generalisability of the design. +The utility of \textit{GreatAI} is validated by applying the principles of design science methodology through iteratively designing it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. \absdiv{Results} To do. \absdiv{Conclusions} diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index 9d71ae0..bbc50c0 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -1,20 +1,20 @@ \chapter{Introduction} -Artificial intelligence techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use-cases in various areas. +Artificial intelligence techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. -However, the successful integration of AI components into production-ready applications demands strong engineering methods in order to achieve robust deployments \cite{serban2020adoption}. That is why it is as important as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. +However, the successful integration of AI components into production-ready applications demands strong engineering methods in order to achieve robust deployments \cite{serban2020adoption}. That is why it is as vital as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. -Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments do not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them properly is as difficult and nuanced as ever. +Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments does not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them correctly is as difficult and nuanced as ever. -This thesis is set out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks for automated mature deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. +This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks for automated mature deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. -Therefore, a software framework --- called \textit{GreatAI}\footnote{\href{https://github.com/schmelczer/great-ai}{github.com/schmelczer/great-ai}} --- is designed and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing an accessible API in an attempt to overcome the practical drawbacks of other, similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. +Therefore, a software framework --- called \textit{GreatAI}\footnote{\href{https://github.com/schmelczer/great-ai}{github.com/schmelczer/great-ai}} --- is designed and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing an accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. -The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the text mining pipeline for a commercial product in collaboration with ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} The goal of the aforementioned software suite is to evaluate technical transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners for validating the generalisability of the design. +The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the text mining pipeline for a commercial product in collaboration with ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. \section{Research questions} -I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs which are easier to adopt in order to decrease the negative externality of misused AI. This paper sets out to investigate the hypothesis by answering the following research questions. +I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs which are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. \begin{rqlist} \item To what extent does the complexity of deploying AI hinders industrial applications? @@ -23,10 +23,10 @@ I hypothesise that facilitating the adoption of AI deployment best practices is \item How suitable is the design of \textit{GreatAI} for helping to apply best practices in other contexts? \end{rqlist} -In this case, complexity refers to the difficulty faced by professionals (Data Scientists and Software Engineers alike) when integrating third-party libraries with their solutions. This could be also described as the barrier of entry or steepness of the learning curve. If the aforementioned hypothesis is correct, the adoption of best practices can be efficiently increased by decreasing this complexity. AI deployment best practices entail the technical steps ought to be taken in order to achieve robust, end-to-end, automated, and trustworthy deployments. These are detailed in Section \ref{section:requirements}. +In this case, complexity refers to the difficulty faced by professionals (Data Scientists and Software Engineers alike) when integrating third-party libraries with their solutions. This could also be described as the barrier of entry or steepness of the learning curve. If the aforementioned hypothesis is correct, the adoption of best practices can be efficiently increased by decreasing this complexity. AI deployment best practices entail the technical steps that ought to be taken to achieve robust, end-to-end, automated, and trustworthy deployments. These are detailed in Section \ref{section:requirements}. The existence question regarding the problem itself (\textbf{RQ1}) is answered by reviewing the literature of more than 30 published case studies in Chapter \ref{chapter:background}. \textbf{RQ2} and \textbf{RQ3} are closely connected, the design and evaluation phases utilised to answer them follow an iterative process. They are examined in Chapters \ref{chapter:design} and \ref{chapter:case} respectively. The final evaluation step is to ascertain the capability of the framework's design to generalise beyond a single subdomain and problem context. This question, \textbf{RQ4}, is investigated through interviews with industry professionals in Chapter \ref{section:interviews}. \section{Structure} -The rest of the thesis is organised as follows: Chapter \ref{chapter:background} approaches the problem and the state-of-the-art from three perspectives: the recent trends of AI-library API designs, the experiences gained from practical applications, and a comparison of existing deployment options. Next, the methodology utilised for the subsequent chapters is described in Chapter \ref{chapter:methods}. The design cycle is broken into two chapters, Chapter \ref{chapter:design} and \ref{chapter:case}. The former clarifies the scope and describes the design principles, while the latter details the specifics of the practical case study, the framework's interaction with it. The contributions of the novel design and obtained results are shown and further validated by conducting interviews with industry professionals in Chapter \ref{chapter:interviews}. The thesis is concluded in Chapter \ref{chapter:conclusion}. +The rest of the thesis is organised as follows: Chapter \ref{chapter:background} approaches the problem and the state-of-the-art from three perspectives: the recent trends of AI-library API designs, the experiences gained from practical applications, and a comparison of existing deployment options. Next, the methodology utilised for the subsequent chapters is described in Chapter \ref{chapter:methods}. The design cycle is broken into two chapters, Chapter \ref{chapter:design} and \ref{chapter:case}. The former clarifies the scope and describes the design principles, while the latter details the specifics of the practical case study and the framework's interaction with it. The contributions of the novel design and obtained results are shown and further validated by conducting interviews with industry professionals in Chapter \ref{chapter:interviews}. The thesis is concluded in Chapter \ref{chapter:conclusion}. diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 5134918..1fa187b 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -1,50 +1,50 @@ \chapter{Background} \label{chapter:background} -Despite the long-standing history of artificial intelligence, industry awareness and adoption has only recently started to meaningfully catch up \cite{wirtz2019artificial}. At the same time, more regulations and guidelines are being published, for instance, the Ethics guidelines for trustworthy AI by the European Commission's High-Level Expert Group on AI\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}. This contains seven key requirements, including human agency and oversight, technical robustness, safety, transparency, and accountability. When it comes to accountability, there are clear advances being made \cite{raji2020closing}, however, in the case of the other requirements, the situation is more nuanced. Thankfully, the field of software engineering for machine learning (SE4ML)\footnote{Both in practice and in the literature, this is sometimes also referred to as \textit{AI Engineering} and has a large intersection with --- or arguably is the same as --- \textit{MLOps}.} has been working towards finding ways to assist data scientists and software engineers in ensuring these (and more) expectations are met by their software. +Despite the long-standing history of artificial intelligence, industry awareness and adoption have only recently started to catch up meaningfully \cite{wirtz2019artificial}. At the same time, more regulations and guidelines are being published, for instance, the Ethics guidelines for trustworthy AI by the European Commission's High-Level Expert Group on AI\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}. This contains seven key requirements, including human agency and oversight, technical robustness, safety, transparency, and accountability. When it comes to accountability, clear advances are being made \cite{raji2020closing}; however, in the case of the other requirements, the situation is more nuanced. Thankfully, the field of software engineering for machine learning (SE4ML)\footnote{Both in practice and literature, this is sometimes also referred to as \textit{AI Engineering} and has a large intersection with --- or arguably is the same as --- \textit{MLOps}.} has been working towards finding ways to assist data scientists and software engineers in ensuring these (and more) expectations are met by their software. In the following, the context of the problem is presented from three perspectives. Starting with its possible cause: the democratisation of state-of-the-art AI algorithms and models. Subsequently, the challenges encountered when applying AI in practice are outlined by case studies and survey data. Lastly, the existing approaches and solutions are introduced. \section{Accessible AI} \label{section:accessible-ai} -Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering} and they are able to do so increasingly easier. In recent years, there has been a proliferation of highly accessible AI libraries. For example, let us consider the domain of natural language processing (NLP). There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Huggingface's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Huggingface enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use-case. The API exposing this is also extremely accessible. +Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easier. In recent years, there has been a proliferation of highly accessible AI libraries. For example, let us consider the domain of natural language processing (NLP). There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Huggingface's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Huggingface enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. -It is not just these two packages, the list of readily available tools is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and business alike \cite{sun2019summarizing}, results in AI that is accessible by many. +It is not just these two packages, the list of readily available tools is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. \section{State of the industry} \label{section:industry} -In contrast to this trend, the software landscape around packaging, deploying, and maintaining machine learning (ML) --- and in general --- data-heavy applications paints a different picture. Fortunately, the related issues and their ramifications have been already thoroughly investigated. +In contrast to this trend, the software landscape around packaging, deploying, and maintaining machine learning (ML) --- and in general --- data-heavy applications paints a different picture. Fortunately, the related issues and their ramifications have already been thoroughly investigated. -When looking at AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice. For instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI, however, most modern AI applications are also ML applications, hence, conflating the two terms may be slightly imprecise but usually not wrong.} code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. +When looking at AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI; however, most modern AI applications are also ML applications. Hence, conflating the two terms may be slightly imprecise but usually not wrong.} code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. -Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING which is a well-known fintech company undergoing a digital transformation to embrace AI. They found that the existing tools for ML do not meet the particularities of the field. For instance, a Feature Engineer working in the Data \& Analytics department explained that regular spreadsheets are preferred over existing solutions like MLFlow for keeping track of experiment results. The reason behind this is simplicity. Additionally, multiple other interviewees described the need to self-develop (or highly-customize) dashboards for monitoring deployed models which results in many non-reusable solutions across the company for the same problem. The authors conclude that there is a research gap between the ever-improving SOTA techniques and the challenges of developing real-world ML systems. In short, additional tool support is needed for facilitating the ML lifecycle. +Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING, which is a well-known fintech company undergoing a digital transformation to embrace AI. They found that the existing tools for ML do not meet the particularities of the field. For instance, a Feature Engineer working in the Data \& Analytics department explained that regular spreadsheets are preferred over existing solutions like MLFlow for keeping track of experiment results. The reason behind this is simplicity. Additionally, multiple other interviewees described the need to self-develop (or highly-customise) dashboards for monitoring deployed models, resulting in many non-reusable solutions across the company for the same problem. The authors conclude that there is a research gap between the ever-improving SOTA techniques and the challenges of developing real-world ML systems. In short, additional tool support is needed for facilitating the ML lifecycle. -In a case study at Microsoft, Amershi et al. \cite{amershi2019software} interviewed 14 people and surveyed another 551 AI and ML professionals from the company. One of the main concerns surfaced was relating to automation which is a vital cross-cutting concern, especially for testing. At the same time, a human-in-the-loop is still favoured. The survey data pointed out the difficulty posed by integrating AI, especially in the case of less experienced respondents. This was elaborated on by describing the preferences of software engineers as striving for elegant, abstract, modular, and simple systems; in contrast, data tends to be of large volume, context-specific and heterogeneous. Reconciling these inherent differences requires significant effort, nevertheless, Microsoft manages to overcome this with highly sophisticated internal infrastructure. +In a case study at Microsoft, Amershi et al. \cite{amershi2019software} interviewed 14 people and surveyed another 551 AI and ML professionals from the company. One of the main concerns surfaced was relating to automation which is a vital cross-cutting concern, especially for testing. At the same time, a human-in-the-loop is still favoured. The survey data pointed out the difficulty posed by integrating AI, especially in the case of less experienced respondents. This was elaborated on by describing the preferences of software engineers as striving for elegant, abstract, modular, and simple systems; in contrast, data tends to be of large volume, context-specific and heterogeneous. Reconciling these inherent differences requires significant effort. Nevertheless, Microsoft manages to overcome this with a highly sophisticated internal infrastructure. -Using AI is not unique to large corporations, in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee had explained: some steps are left out from time to time because they are forgotten about. +Using AI is not unique to large corporations; in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee explained: some steps are left out from time to time because they are forgotten about. Similarly, Thiée \cite{thiee2021systematic} described the slow but ever-growing rate of ML adoption by small and medium-sized enterprises (SMEs). With the caveat that many more of these companies would wish to adopt data-driven approaches but are facing new challenges stemming from the domain's complexity. -Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance of each best practice. For example, they determined the most important best practice to be \textit{logging production prediction traces}, however, the adoption was measured to be below 40\%. In more than three quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. In a similar fashion, Serban et al. in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI mainly through data governance. They strived to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern. Most best practices have less than 50\% adoption. +Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance of each best practice. For example, they determined the most important best practice to be \textit{logging production prediction traces}; however, the adoption was measured to be below 40\%. In more than three-quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. Similarly, Serban et al. in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI, mainly through data governance. They strove to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern: most best practices have less than 50\% adoption. -John et al. \cite{john2020architecting} compared and contrasted recent scientific and grey literature of AI deployments from which they extracted concrete challenges and practices. They also observed that most companies are placing a lot more models into production compared with previous years. Additionally, they pointed out that many deployment techniques are absent in contemporary literature which is speculated to be caused by the immaturity of deployment processes employed in academia. Because for instance, most models in scientific literature experience only initial deployment and are not constantly replaced or refreshed as their performance degrades over time. +John et al. \cite{john2020architecting} compared and contrasted recent scientific and grey literature of AI deployments from which they extracted concrete challenges and practices. They also observed that most companies are placing many more models into production compared with previous years. Additionally, they pointed out that many deployment techniques are absent in contemporary literature, which is speculated to be caused by the immaturity of deployment processes employed in academia. Because for instance, most models in scientific literature experience only initial deployment and are not constantly replaced or refreshed as their performance degrades over time. -Finally, in a follow-up study to \cite{john2020architecting}, Bosch et al. \cite{bosch2021engineering} organised and structured the problem space of AI engineering research based on their 16 primary case studies. The authors noted the increasing and broad adoption of ML in the industry, while also emphasising that the \textit{transition from prototype to production-quality deployment} proves to be challenging for many companies. Solid software engineering expertise is required to create additional facilities for the application such as data pipelines, monitoring, and logging. They defined \textit{deployment \& compliance} to be one of the four main categories of problems and described it as highly underestimated and the source of ample struggle. +Finally, in a follow-up study to \cite{john2020architecting}, Bosch et al. \cite{bosch2021engineering} organised and structured the problem space of AI engineering research based on their 16 primary case studies. The authors noted the increasing and broad adoption of ML in the industry while also emphasising that the \textit{transition from prototype to production-quality deployment} proves to be challenging for many companies. Solid software engineering expertise is required to create additional facilities for the application, such as data pipelines, monitoring, and logging. They defined \textit{deployment \& compliance} to be one of the four main categories of problems and described it as highly underestimated and the source of ample struggle. \section{Existing solutions} \label{section:existing} -From the previous section, it is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though, the authors note that even this solution has its shortcomings in the form rigidity (number of supported libraries and model types) but it still allows the easy extension of the system. +From the previous section, it is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though the authors note that even though this solution has shortcomings in the form of rigidity (number of supported libraries and model types), it still allows the easy extension of the system. -Given the nature of problems faced and amount of available resources, it is not surprising the both of these high-tech, Fortune 500 companies needed to, and did overcome the problems presented by deploying AI. We can learn from their approaches, nonetheless, using them may be infeasible for individuals and SMEs, thus, the issues remain for the majority of practitioners. Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.}, and platforms is thriving. Additionally, there is a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. +Given the nature of the problems faced and the amount of available resources, it is not surprising that both of these high-tech Fortune 500 companies needed to, and did overcome the problems presented by deploying AI. We can learn from their approaches; nonetheless, using them may be infeasible for individuals and SMEs. Thus, the issues remain for the majority of practitioners. Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.}, and platforms is thriving. Additionally, there is a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. -IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus mostly on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe. The challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has been also set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. +IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe. The challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. -SageMaker offers the most comprehensive suite of tools and services; most importantly it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes the use of CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption as indicated by the survey data. The cause of this may be the lack of self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in, and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. +SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. -When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time-investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for the SE4ML best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models\footnote{The Open Neural Network Exchange (\href{https://onnx.ai/}{onnx.ai}) format could be an option for overcoming these incompatibilities, however, a more universal support is needed for seamless integration.} or algorithms of other frameworks and technologies. +When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for the SE4ML best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models\footnote{The Open Neural Network Exchange (\href{https://onnx.ai/}{onnx.ai}) format could be an option for overcoming these incompatibilities. However, more universal support is needed for seamless integration.} or algorithms of other frameworks and technologies. -Open-source platforms also exist such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow puts more emphasis on the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes, and relies on Helm, Ambasador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components, then when it comes to model deployment, a Kubernetes configuration file has to be created to make use of Seldon's Custom Resource Definition. These are smaller obstacles if the project is already built on top of K8s; however, even then, software engineers with strong cloud and DevOps background are actively required for using Seldon Core. +Open-source platforms also exist, such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow emphasises the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features, including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes and relies on Helm, Ambassador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components; then, when it comes to model deployment, a Kubernetes configuration file must be created to use Seldon's Custom Resource Definition. These are more minor obstacles if the project is already built on top of K8s; however, even then, software engineers with solid cloud and DevOps backgrounds are actively required to use Seldon Core. -Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions including those for embedded devices. They note their inefficiencies that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments which can be used out-of-the box but also lets users easily replace and extend its pipeline with steps to fit their changing needs and advancements of the field. While Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge-computing. They also note that: \textit{"...there is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature"}. +Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions, including those for embedded devices. They note the inefficiencies of these that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments, which can be used out-of-the-box but also lets users easily replace and extend its pipeline with steps to fit their changing needs and advancements in the field. At the same time, Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge computing. They also note that: \textit{"...there is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature"}. In summary, the problems expressed in Section \ref{section:industry} can be understood when looking at the available solutions. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. @@ -83,4 +83,4 @@ No DevOps dependencies\textsuperscript{4}& & & The surveys and case studies have shown the industry's continuous struggle to evolve prototypes into robust and responsible production-ready deployments. Simultaneously, platforms aiming to help overcome this challenge already exist but lack widespread adoption. The frequently recurring explanations for not adopting existing solutions surfaced in Section \ref{section:industry} revolve around their complexity and rigidity. These complaints are validated when looking at the available frameworks in Section \ref{section:existing}. While using AI has become more accessible than ever, deploying remains challenging owing to the lack of any \textit{easy-to-adopt framework for robust end-to-end AI deployments}. -The coexistence of multiple major obstacles along with their promised solutions and the lack of their wide-spread adoption leads us to believe that current frameworks are inadequate for many contexts. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, HuggingFace, and similar libraries for the domain of ML remains unmatched in the domain of AI Engineering. +The coexistence of multiple major obstacles, along with their promised solutions and the lack of their widespread adoption, leads us to believe that current frameworks are inadequate for many contexts. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, HuggingFace, and similar libraries for the domain of ML remains unmatched in the field of AI Engineering. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index e9cab90..b2b4b3f 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -1,8 +1,8 @@ \chapter{Methods} \label{chapter:methods} -The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their context \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated and its potential treatment is validated concurrently. This procedure seems fitting for our problem in consequence of its practical nature. +The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their context \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated, and its potential treatment is validated concurrently. This procedure seems fitting for our problem in consequence of its practical nature. -The design cycle shares similarities with Action Research \cite{davison2004principles} in which researchers attempt to solve a real-world problem while simultaneously studying the experience of solving said problem. As for the empirical cycle, the pragmatist approach is taken since the value of this research lies in its utility. Moreover, pragmatism adopts an engineering approach to research \cite{shull2007guide} which happens to be in line with the philosophy of design science. Additionally, as no research method is without flaws, it is imperative to try to compensate their weaknesses by applying multiple methods. Hence, the study also relies on interviews with professionals for validating the design decisions and determining the generalisability of \textit{GreatAI}. +The design cycle shares similarities with Action Research \cite{davison2004principles} in which researchers attempt to solve a real-world problem while simultaneously studying the experience of solving said problem. As for the empirical cycle, the pragmatist approach is taken since the value of this research lies in its utility. Moreover, pragmatism adopts an engineering approach to research \cite{shull2007guide}, which happens to be in line with the philosophy of design science. Additionally, as no research method is without flaws, it is imperative to try to compensate for their weaknesses by applying multiple methods. Hence, the study also relies on interviews with professionals to validate the design decisions and determine the generalisability of \textit{GreatAI}. \section{Design \& empirical cycles} @@ -14,20 +14,20 @@ in order to decrease the negative externality of misused AI.} The problem context is the difficulty in responsibly transitioning (while following best practices) from prototype industrial AI applications to production-ready deployments. With the possible treatment being libraries with high-level APIs and a set of default settings. It is important to note that \textit{GreatAI} is merely a proof-of-concept, and its aim is to serve as a proxy for the design decisions behind it. Through this, the design can be indirectly evaluated. Hopefully, a by-product will be a library that can be effectively applied to this problem context. -The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform with the aim of finding tech-transfer opportunities in academic publications. The main input of the system as a whole are PDFs while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and the scientific contribution. The output also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities who later give feedback on the results. +The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform with the aim of finding tech-transfer opportunities in academic publications. The primary inputs of the system as a whole are PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. -Overall, this problem context carries the properties of typical industry use-cases: it utilises a wide-range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on in their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. +Overall, this problem context carries the properties of typical industry use-cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on in their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. -Before generalising, the design of the framework is iteratively refined using the feedback acquired from applying it in practical contexts which in this case is the research and development of a smaller and a more complex AI component using the work-in-progress framework. The treatment is finding a simple, less cognitively straining to use, design which still leads to high-quality deployments as defined in Section \ref{section:requirements}. +Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case is the research and development of a smaller and a more complex AI component using the work-in-progress framework. The treatment is finding a simple, less cognitively-straining-to-use design which still leads to high-quality deployments as defined in Section \ref{section:requirements}. \section{Applicability \& generalisability} \label{section:interview-setup} -In order to conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted from a population of software engineers and data scientists with varying levels of professional background. Since me and my colleagues are likely to have a bias for (or against) the proposed design, the first step of checking its applicability in other practical contexts is to ask the opinion of non-affiliated practitioners. +To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. Since my colleagues and I are likely to have a bias for (or against) the proposed design, the first step of checking its applicability in other practical contexts is to ask the opinion of non-affiliated practitioners. -First, before their interview, interviewees are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI} as described in Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, participants are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}, they are also encouraged to think out loud so that their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. +First, before their interview, interviewees are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI} as described in Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, participants are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. Notes are taken throughout the interviews and subsequently extended using reflective journaling \cite{halcomb2006verbatim} combined with thematic coding. After which, the insights from the interviewed professionals are distilled using the techniques of thematic analysis \cite{fereday2006demonstrating} following the methodologies of \cite{cruz2019catalog} and \cite{haakman2021ai}. These insights can then be combined with the numerical results to explain and elaborate on them. -The second half consists of a short survey allowing to create the Technology Acceptance Model (TAM) \cite{davis1989perceived} of the problem context. The ultimate goal of the presented library is to help increase the adoption rate of best practices. In order to reach that goal, first, the library itself has to gain adoption. TAM and its numerous variations provide means of measuring users' willingness of adopting new technologies. TAM has been widely applied in literature \cite{marangunic2015technology} and due to its general psychological origins, it proves to be effective in other areas of technology, not just software \cite{riemenschneider2002explaining}. +The second half consists of a short survey allowing to create the Technology Acceptance Model (TAM) \cite{davis1989perceived} of the problem context. The ultimate goal of the presented library is to help increase the adoption rate of best practices. In order to reach that goal, first, the library itself has to gain adoption. TAM and its numerous variations provide means of measuring users' willingness of adopting new technologies. TAM has been widely applied in literature \cite{marangunic2015technology}, and due to its general psychological origins, it proves to be effective in other areas of technology, not just software \cite{riemenschneider2002explaining}. -The parsimonious version of TAM will be employed which was measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): perceived usefulness, perceived ease of use, and intention to use. Participants are asked 10 questions corresponding to these aspects about their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Chronbach's Alpha \cite{bland1997statistics} after which the responses are reflected upon. +The parsimonious version of TAM will be employed, which was measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): perceived usefulness, perceived ease of use, and intention to use. Participants are asked ten questions corresponding to these aspects of their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Chronbach's Alpha \cite{bland1997statistics}, after which the responses are reflected upon. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 04c5e80..8c59818 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -1,12 +1,12 @@ \chapter{Designing the framework} \label{chapter:design} -Providing users with a high-level of abstraction is not unheard of in the domain of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we have discussed it in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment related concepts. +Providing users with a high level of abstraction is not unheard of in the domain of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we have discussed in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment-related concepts. \section{Scope} \label{section:scope} -As highlighted by several case studies in Chapter \ref{chapter:background}, the transition from prototypes to production-ready systems is often named as the source of unexpected struggle. Maybe it is not a coincidence that a significant portion of the SE4ML best practices should be implemented in this phase. Unfortunately, it is easy to gloss over them while tackling the underestimated difficulties of this \textit{transition}. Therefore, the aim of \textit{GreatAI} is to ease this step of the lifecycle, consequently, its scope is limited to the \textit{transition} step. +As highlighted by several case studies in Chapter \ref{chapter:background}, the transition from prototypes to production-ready systems is often named as the source of unexpected struggle. Maybe it is not a coincidence that a significant portion of the SE4ML best practices should be implemented in this phase. Unfortunately, it is easy to gloss over them while tackling the underestimated difficulties of this \textit{transition}. Therefore, the aim of \textit{GreatAI} is to ease this step of the lifecycle. Consequently, its scope is limited to the \textit{transition} step. -There have been attempts that at least partially address this issue, however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices, or stemming from their difficulty to be adopted. To have the best chance of providing an easy-to-adopt solution, the scope has to be well-defined and limited. For understanding the API of a library, users first need to understand its aim, surface, and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. +There have been attempts that at least partially address this issue, however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. To have the best chance of providing an easy-to-adopt solution, the scope has to be well-defined and limited. To understand the API of a library, users first need to understand its aim, surface, and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. \begin{figure} \centering @@ -16,35 +16,35 @@ There have been attempts that at least partially address this issue, however, as \label{fig:scope} \end{figure} -It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing, however, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a GREAT service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS, or by using the organisation's existing software deployment setup. +It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a GREAT service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or by using the organisation's existing software deployment setup. \section{Requirements} \label{section:requirements} -The best practices (which are referenced throughout the thesis) with which the design is concerned are a subset of those compiled by Serban et al. \cite{serban2020adoption,serban2021practices} and John et al. \cite{john2020architecting}. The core requirements --- set of covered best practices --- for a software solution that has the potential of improving our problem context are presented in the following along with some explanation and clarification for each of them. +The best practices (which are referenced throughout the thesis) with which the design is concerned are a subset of those compiled by Serban et al. \cite{serban2020adoption,serban2021practices} and John et al. \cite{john2020architecting}. The core requirements --- set of covered best practices --- for a software solution that has the potential to improve our problem context are presented in the following, along with some explanation and clarification for each of them. \paragraph{General} Albeit not explicitly in the list of best practices, compatibility is vital in encouraging adoption. Large projects oftentimes end up depending on numerous packages, each of which may impose some restrictions on the code: since these all have to be satisfied simultaneously, this can result in severe constraints. -The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least 4 popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user, thus, they should not be limited in this by \textit{GreatAI}. +The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least 4 popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. -The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python, hence, implementing the library in it should not significantly limit its applicability. +The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python. Hence, implementing the library in it should not significantly limit its applicability. -\paragraph{Robustness} in software development can be achieved by preparing the application to gracefully handle errors, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safe-guards as feasible. \textit{GreatAI} should support its clients in this. +\paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as feasible. \textit{GreatAI} should support its clients in this. -\paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the real-world performance of the system, and this should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real-life and can become outdated if they are not revised continuously. A well packaged deployment should make it trivial to integrate new training data. +\paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the real-world performance of the system, and this should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real life and can become outdated if they are not revised continuously. A well-packaged deployment should make it trivial to integrate new training data. \paragraph{Automated} The available time of data scientists and software engineers is limited and expensive. For this reason, humans should only be involved when their involvement is necessary. Steps in the development process that can be automated without negative consequences must be automated in order to achieve efficient development processes and let the experts focus on the issues that require their attention the most. \paragraph{Trustworthy} As detailed by the \textit{Ethics guidelines for trustworthy AI}\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}, human oversight, transparency, and accountability are some of the key requirements for trustworthy AI applications. For increasing public acceptance and trust while minimising negative societal impact, trustworthiness is essential. -These requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices, for instance, the ones relating to organisational processes fall outside the realm of computer science. +These requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. \section{Design principles} -Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable, since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use-cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. While depth implies each of them accomplishing an involved, complex goal. +Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use-cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. While depth implies each of them accomplishing an involved, complex goal. -In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided by a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions which describe different (often competing) cognitive aspects of code that influence one's ability to perform certain tasks on it. +In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform certain tasks. -Linguistic anti-patterns provide guidelines for improving consistency and decreasing the false sense of consistency when there is none. Also, choosing the right names for identifiers can help activate information stored in the long-term memory which makes it quicker to comprehend and easier to reason about the code \cite{deissenboeck2006concise}. Finding the most accurate and useful names is harder than it first seems. Accuracy and usefulness are already often competing goals. The more precise the name, the longer and therefore less convenient to use \cite{butler2009relating}. In short, good names are key to good APIs; consciously considering the implications of names should be an integral part of the design process. +Linguistic anti-patterns provide guidelines for improving consistency and decreasing the false sense of consistency when there is none. Also, choosing the right names for identifiers can help activate information stored in the long-term memory, making it quicker to comprehend and easier to reason about the code \cite{deissenboeck2006concise}. Finding the most accurate and useful names is more challenging than it first seems. Accuracy and usefulness are already often competing goals. The more precise the name, the longer and therefore less convenient to use \cite{butler2009relating}. In short, good names are essential to good APIs; consciously considering the implications of names should be an integral part of the design process. Nonetheless, simple APIs come at a high technical cost. The library has to implement these in a way that still allows for high performance in production \cite{kleppmann2017designing} and avoids being tied to specific libraries or technologies. Inspiration for the latter may be gained from the ML pipelines of Prado et al. \cite{prado2020bonseyes}: they show that more freedom can be achieved with plug-and-play steps and preconfigured defaults. @@ -52,32 +52,32 @@ Nonetheless, simple APIs come at a high technical cost. The library has to imple \href{https://grugbrain.dev/#grug-on-apis}{Existing frameworks oftentimes suffer from the entanglement of numerous levels of abstractions.} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. -For example, tracing the evaluations and the model versions used in a distributed fashion is very much expected of a trustworthy system. Hence, turning this feature on by default but allowing opting-out from it can result in less scaffolding required from the library's users. It also decreases their up-front cognitive load which by definition flattens the learning-curve \cite{hermans2021programmer}. Similar features can be imagined for providing a service API for the algorithms and for giving feedback, marking outliers, etc. +For example, tracing the evaluations and the model versions used in a distributed fashion is very much expected of a trustworthy system. Hence, turning this feature on by default but allowing opting-out from it can result in less scaffolding required from the library's users. It also decreases their up-front cognitive load, which by definition flattens the learning-curve \cite{hermans2021programmer}. Similar features can be imagined for providing a service API for the algorithms, giving feedback, marking outliers, and more. -Being \textit{automated} is listed as a requirement but it is imperative to only automate for simplifying and not for hiding decisions. More precisely, guessing must not be a part of automation. For instance --- an otherwise incredibly useful WebGL library --- TWGL.js has a feature for automatically guessing the type of vectors based on their names. If it matches the \texttt{/colou?r/i} pattern, it is treated as a vector with three components\footnote{\href{https://github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}{\tiny github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}}. It is easy to imagine that this can help in certain scenarios, but it does so at the cost of immense confusion when correctly renaming a variable breaks the application. In CDCB, this equates to scoring high on the dimension of \textit{Hidden dependencies} and low on \textit{Visibility}. +Being \textit{automated} is listed as a requirement, but it is imperative to only automate for simplifying and not for hiding decisions. More precisely, guessing must not be a part of automation. For instance --- an otherwise handy WebGL library --- TWGL.js, has a feature for automatically guessing the type of vectors based on their names. Suppose it matches the \texttt{/colou?r/i} pattern. In that case, it is treated as a vector with three components\footnote{\href{https://github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}{\tiny github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}}. It is easy to imagine that this can help in certain scenarios. Still, it does so at the cost of immense confusion when correctly renaming a variable breaks the application. In CDCB, this equates to scoring high on the dimension of \textit{Hidden dependencies} and low on \textit{Visibility}. -Learning from this, any kind of guessing must be avoided for creating a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to considerably more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. +Learning from this, any kind of guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to considerably more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. -To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense, hence, the user can be expected to comprehend them instead of just being overwhelmed and skimming it. +To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skimming it. -This way, the library attempts to notify its user about the existence of these decisions but does not force them to manually decide. As a result, no initial configuration is needed for starting out with the library (high \textit{Provisionality}, low \textit{Diffuseness}) and the dependencies are not hidden since they are explicitly highlighted. +This way, the library attempts to notify its user about the existence of these decisions but does not force them to decide manually. As a result, no initial configuration is needed for starting out with the library (high \textit{Provisionality}, low \textit{Diffuseness}), and the dependencies are not hidden since they are explicitly highlighted. \subsection{Documentation} -Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentation comes in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (on mouse hover for instance), at the same time, a more comprehensive online manual and example projects are also still expected. But descriptive error messages can be also viewed as documentation. +Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentation comes in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. But descriptive error messages can also be viewed as documentation. -The library must have quality documentation for all categories. Accordingly, for structuring it, the \textit{Diátaxis} philosophy is preferred \cite{Procida_Diataxis_documentation_framework} which prescribes dividing documentation into 4 parts along 2 axes: practical-theoretical and passive-active consumption. The four quadrants derived from this are: tutorials, how-to guides, reference, and explanation. +The library must have quality documentation for all categories. Accordingly, for structuring it, the \textit{Diátaxis} philosophy is preferred \cite{Procida_Diataxis_documentation_framework} which prescribes dividing documentation into 4 parts along 2 axes: practical-theoretical and passive-active consumption. The four quadrants derived from this are tutorials, how-to guides, references, and explanations. -Once again, we might notice two competing interests: the level-of-detail and the length of the documentation. For example, FastAPI\footnote{\href{https://fastapi.tiangolo.com/async/\#concurrent-burgers}{fastapi.tiangolo.com}}, a popular Python web framework, has extensive descriptions and explanations on all topics related to Python's import system, the HTTP protocol, concurrency, deployment, etc. The actual framework's documentation is sprinkled over these very broad topics. This is certainly helpful for beginners to acquire knowledge from a single place. Nevertheless, this high-level of accessibility actually hinders the process of finding the relevant sections (in CDCB, this shows a trade-off between the support of \textit{Searching} and \textit{Comprehension} tasks). Diátaxis' take is that linking to external resources about the library's domain are welcome, but the documentation must have a single responsibility: describing the library itself. +Once again, we might notice two competing interests: the level of detail and the length of the documentation. For example, FastAPI\footnote{\href{https://fastapi.tiangolo.com/async/\#concurrent-burgers}{fastapi.tiangolo.com}}, a popular Python web framework, has extensive descriptions and explanations on all topics related to Python's import system, the HTTP protocol, concurrency, deployment, etc. The actual framework's documentation is sprinkled over these overly broad topics. This is undoubtedly helpful for beginners to acquire knowledge from a single place. Nevertheless, this high level of accessibility actually hinders the process of finding the relevant sections (in CDCB, this shows a trade-off between the support of \textit{Searching} and \textit{Comprehension} tasks). Diátaxis' take is that linking to external resources about the library's domain is welcome, but the documentation must have a single responsibility: describing the library itself. -A large portion of software documentations is automatically generated from source code. This has the advantage of always keeping it in sync with code changes, however, it might also signal that the API is too large because it is inconvenient for the developers to document it by hand. Striking the right balance between handcrafted and automatically extracted documentation may be a vital component of good documentation. +A large portion of software documentations is automatically generated from source code, and this has the advantage of always keeping it in sync with code changes. However, it might also signal that the API is too large because it is inconvenient for the developers to document it by hand. Striking the right balance between handcrafted and automatically extracted documentation may be a vital component of good documentation. -When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read documentation when they are stuck and there might be some merit to this. Making them not get stuck --- by providing starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. For example, another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only 2 lead to the quick-start code. Of course, it is not hidden, but I argue that the DX could be improved by displaying where to start more prominently. +When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. For example, another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but I argue that the DX could be improved by displaying where to start more prominently. \subsection{Developer experience} Subjectively, a key component of good DX is \textit{Progressive evaluation} through which development can become a highly iterative, experimental process. This is well understood by popular data science tools, such as Jupyter Notebooks. \textit{GreatAI} also has to support some level of this, for example, in the form of auto-reload on code changes. Further key ingredients for good DX are consistency and discoverability. To give one more example, the MySQL connector's Python implementation\footnote{\href{https://dev.mysql.com/doc/connector-python/en/}{dev.mysql.com/doc/connector-python/en/}} has a cursor object which exposes a \texttt{fetchone} method. Even though this naming scheme is not conventional in Python since it does not follow \href{https://peps.python.org/pep-0008/}{PEP 8}, at least the API is intuitive: changing \texttt{sql\_cursor.fetchone()} to \texttt{sql\_cursor.fetchall()} returns all items instead of just one. Using good and consistent names is the key to good DX. -At the same time, Python codebases are rarely strictly object-oriented (OO), they are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable. Therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer} which amount to quicker comprehension. +At the same time, Python codebases are rarely strictly object-oriented (OO). They are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable; therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer}, which amounts to quicker comprehension. -There is one more reason to prefer consistency: humans have a limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially, when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value at the same time, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix which may turn into a double negation, nevertheless, users should not ever encounter this themselves since the doubly-negated version is the default, thus when overriding it, it is only singly-negated. This approach also implies, something may be recommended to be turned on by default. +There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, when overriding it, it is only singly negated. This approach also implies that something may be recommended to be turned on by default. diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index 9eb31de..97a770e 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -1,14 +1,14 @@ \chapter{The ScoutinScience platform} \label{chapter:case} -The core product of \href{https://scoutinscience.com/}{ScoutinScience B.V.} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g.: Wetsus), and corporates (e.g.: Heraeus Group, Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other features are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. +The core product of \href{https://scoutinscience.com/}{ScoutinScience B.V.} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other features are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. -Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology transfer opportunities being present. The main motivation is to make these business developers' and other professionals work more efficient by showing them which papers have the highest chance of being considered interesting by them. +Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. -To achieve this, we have a service-based architecture \cite{kleppmann2017designing} on the backend-side --- apart from the data integration, communication, and business logic --- it is made up of services wrapping simpler (phrase-matching, Naïve Bayes) and more sophisticated (conditional random fields, transformer) models. As we will soon see, these can also depend on each other, for instance, based on the predicted scientific domain, a different model can be chosen for scoring certain aspects of papers. +To achieve this, we have a service-based architecture \cite{kleppmann2017designing} on the backend-side --- apart from the data integration, communication, and business logic --- it is made up of services wrapping simpler (phrase-matching, Naïve Bayes) and more sophisticated (conditional random fields, transformer) models. As we will soon see, these can also depend on each other; for instance, based on the predicted scientific domain, a different model can be chosen for scoring certain aspects of papers. -I was among the first engineers on the team which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems. It is also larger than it should be. This had motivated me to investigate the state-of-the-art and I have found that it is insufficient in many cases. Since the ScoutinScience platform is a quite typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution which can hopefully advance the state-of-the-art. +I was among the first engineers on the team, which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems, and it is also larger than it should be. This has motivated me to investigate the state-of-the-art, and I have found that it is insufficient in many cases. Since the ScoutinScience platform is a typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution that can hopefully advance the state-of-the-art. -In this chapter, the process of designing \textit{GreatAI} is described along with how it fits into real-life use-cases. First, a simple experiment is presented which leads to the implementation of a software service, subsequently, as the feature-set of the library grows and matures, a more complex component is developed. Lastly, the final version of the design is presented and qualitatively evaluated to verify how well it satisfies the requirements described in Section \ref{section:requirements}. +In this chapter, the process of designing \textit{GreatAI} is described, along with how it fits into real-life use-cases. First, a simple experiment is presented, which leads to the implementation of a software service. Subsequently, as the feature set of the library grows and matures, a more complex component is developed. Lastly, the final version of the design is presented and qualitatively evaluated to verify how well it satisfies the requirements described in Section \ref{section:requirements}. \input{chapters/5_cases/naive-bayes} \input{chapters/5_cases/scibert} diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 9839545..565109f 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -4,9 +4,9 @@ Using different models for slight variations of the same problem is quite common \subsection{Background} -Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for exactly this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts as indicated by Elsevier funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches but this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground-truth dataset. +Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for exactly this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches but this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground-truth dataset. -Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and finetuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version (\href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}) of this dataset.}. To the best of my knowledge, no other published work exists on this sentence-classification task. This may be explained by the lack of practical relevance and contrived nature (uniform label distribution) of the task as we will see in the next subsection. +Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and finetuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version (\href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}) of this dataset.}. To the best of my knowledge, no other published work exists on this sentence classification task. This may be explained by the lack of practical relevance and contrived nature (uniform label distribution) of the task as we will see in the next subsection. \begin{displayquote} \textbf{Design note} After getting familiar with the context, it is time to focus on experimenting and developing our domain prediction service. At the same time, the difficulties encountered should be noted and integrated into \textit{GreatAI}'s design. @@ -37,7 +37,7 @@ SSC is much larger: it contains over 80 million abstracts. Having more data cert \end{figure} \begin{displayquote} -\textbf{Where should we store this data?} ``On my machine'' seems like an easy answer. However, if we have a team working with the data or it has intrinsic value, it must be stored in an easy-to-access, potentially redundant way. Serban et al. \cite{serban2020adoption} expressed this need in the following best practice: \textit{Make Data Sets Available on Shared Infrastructure (private or public)}. Meanwhile, wherever data is stored, it should be also versioned to satisfy the next best practice: \textit{Use Versioning for Data, Model, Configurations and Training Scripts}. +\textbf{Where should we store this data?} ``On my machine'' seems like an easy answer. However, if we have a team working with the data or it has intrinsic value, it must be stored in an easy-to-access, potentially redundant way. Serban et al. \cite{serban2020adoption} expressed this need in the following best practice: \textit{Make Data Sets Available on Shared Infrastructure (private or public)}. Meanwhile, wherever data is stored, it should also be versioned to satisfy the next best practice: \textit{Use Versioning for Data, Model, Configurations, and Training Scripts}. \end{displayquote} MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{beltagy2019scibert}. But since SSC contains heaps of metadata, the relevant parts have to be extracted and preprocessed. In this case, these are the concatenation of the abstract's text and the paper's title along with the paper's domains (there can be multiple domains for a single paper: it is a multi-label classification task). Lastly, the non-English entries are discarded because we only expect to process papers in English. @@ -52,12 +52,12 @@ Our aims are twofold: (1) to evaluate a sentence classification model on MAG and It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. To test this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. -Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter-optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves relatively how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice, since it also implements an automated hyperparameter sweep. +Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter-optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves relatively how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than 5 documents or more than 5\% of the documents. \begin{displayquote} -\textbf{What could be automated here?} As discussed in Section \ref{section:accessible-ai}, libraries exposing algorithms and even SOTA models can already be considered mature and accessible. In this case, only scikit-learn was utilised, but subjectively, most popular libraries have a similarly easy to use API. Therefore, I see no urgent need for further action regarding the \textit{experimentation} step of the lifecycle in connection with the AI best practices. +\textbf{What could be automated here?} As discussed in Section \ref{section:accessible-ai}, libraries exposing algorithms and even SOTA models can already be considered mature and accessible. In this case, only scikit-learn was utilised, but subjectively, most popular libraries have a similarly easy-to-use API. Therefore, I see no urgent need for further action regarding the \textit{experimentation} step of the lifecycle in connection with the AI best practices. \end{displayquote} \subsection{Results \& Discussion} @@ -78,11 +78,11 @@ The sentences are tokenised into words and vectorised with TF-IDF (with logarith \label{fig:ss-confusion} \end{figure} -When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1-score. This is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems, MNB clearly outperforms SciBERT for this particular use-case: it is not only more accurate, its model is magnitudes smaller, while it is also considerably faster to train (or finetune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper-limit on the input length. Thus, this experiment validates the choice of picking MNB for the task over SciBERT. +When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1-score. This is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems, MNB clearly outperforms SciBERT for this particular use case: it is not only more accurate, its model is magnitudes smaller, while it is also considerably faster to train (or finetune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper limit on the input length. Thus, this experiment validates the choice of picking MNB for the task over SciBERT. It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a plain task like this. Apart from phrases, the relation between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}, hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. -Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves lower macro-average F1-score which is 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70 and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages come from the unbalanced distribution of the labels. +Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1-score which is 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. The lower F1-score is not surprising because there are more than twice as many classes in this dataset. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. @@ -92,13 +92,13 @@ This is the usual point where papers conclude: a proof-of-concept/prototype has \subsection{Deployment} -First, an inference function needs to be written that can take an input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, giving an explanation of the results is expected. Fortunately, with our simple model it is easy to determine the most influential weights, thus, words; the explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. +First, an inference function needs to be written that can take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, giving an explanation of the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. \begin{displayquote} -\textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though, allowing it to be easily (or automatically) parallelised would make its consumers' DX better. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface, or more commonly, a web API. Developers usually refer to these as REST APIs, sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service in order to make it available for other internal/external consumers. +\textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though allowing it to be easily (or automatically) parallelised would make its consumers' DX better. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface or more commonly, a web API. Developers usually refer to these as REST APIs, sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service in order to make it available for other internal/external consumers. \end{displayquote} -According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is inarguably a deployment. However, it likely follows very few of the best practices which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. +According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is inarguably a deployment. However, it likely follows very few of the best practices, which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. \begin{displayquote} \textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting the traces, graceful error-handling, taking feedback on the results (if possible in the use-case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. @@ -108,38 +108,38 @@ According to the body of research on the adoption of best practices, this is whe First, let us revisit the library's scope for clarification. As concluded in Section \ref{section:scope}, \textit{GreatAI} should ease the \textit{transition} step between prototypes and production-ready deployments. However, this leaves open the question of what constitutes to this step? There are cross-cutting concerns, for example, feature extraction is implemented and used in the training phase, but it is also deployed alongside the model. The robustness criterion has to be met by this procedure even though its implementation is only in focus in the earlier stages of the project. Since having an untested function deployed into production can have severe repercussions, I conclude, assuring its correctness lies within the scope of \textit{GreatAI}. -This section briefly explores how the problems raised can be solved using \textit{GreatAI}, and the API it provides in order to best fit the needs of its users. We first focus on the aspects of data, then, we discuss the utility of helper functions, and lastly, the automated wrapping of services. +This section briefly explores how the problems raised can be solved using \textit{GreatAI}, and the API it provides in order to best fit the needs of its users. We first focus on the aspects of data, then we discuss the utility of helper functions, and lastly, the automated wrapping of services. \subsection{Handling data} \label{subsection:large-file} The obstacles coming from the intertwined nature of different models is widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use-case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. -There are two kinds of data storage needs we have to address: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using the Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. +There are two kinds of data storage needs we have to address: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using the Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's, and it can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. -The complexity of an API can be decreased by relying on its users preexisting knowledge and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface, however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, automatically deleting old remote version are all present and come with recommended --- but easy to see and change --- configuration. +The complexity of an API can be decreased by relying on its users' preexisting knowledge and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface; however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, and automatically deleting old remote versions are all present and come with recommended --- but easy to see and change --- configuration. -Easing development is not merely about automating everything but also making the code easy to change (which is the \textit{Viscosity} dimension of CDCB). Going from opening a local file on the disk with the built-in open method, to opening a file from S3 is as easy as changing \texttt{open('file.txt', 'w')} to \texttt{LargeFileS3('file.txt', 'w')}. In the case of the latter, an additional \texttt{version} keyword argument can be also given to lock ourselves in using a certain version which is very much desired in the case of models. +Easing development is not merely about automating everything but also about making the code easy to change (which is the \textit{Viscosity} dimension of CDCB). Going from opening a local file on the disk with the built-in open method, to opening a file from S3 is as easy as changing \texttt{open('file.txt', 'w')} to \texttt{LargeFileS3('file.txt', 'w')}. In the case of the latter, an additional \texttt{version} keyword argument can also be given to lock ourselves in using a certain version which is very much desired in the case of models. \subsection{Utilities} -It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, robustly lemmatizing are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this which could be extensively tested by means of unit testing. +It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, and robustly lemmatizing are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. This is exactly the motivation behind \texttt{great\_ai.utilities}. Extra care has to be taken not to overfit these utilities on the cases considered in this chapter; however, I believe these are versatile enough to be helpful in many text-related contexts. A conclusive answer to this assumption will be found during the interviews. -Implementing the unit tests uncovered multiple edge cases and even runtime errors, hence, the merit of \textit{Test all Feature Extraction Code} best practice is unequivocal. There is one more best practice that could be partially covered here, especially, because its solution also helps both during batch inference, but also at training/feature extraction time: \textit{Enable Parallel Training Experiments}. +Implementing the unit tests uncovered multiple edge cases and even runtime errors; hence, the merit of \textit{Test all Feature Extraction Code} best practice is unequivocal. There is one more best practice that could be partially covered here, especially because its solution also helps both during batch inference but also at training/feature extraction time: \textit{Enable Parallel Training Experiments}. -A function called \texttt{parallel\_map()} is implemented which closely mimics the API of the built-in Python function: \texttt{map}. And it exemplifies how even a close to trivial function is able to improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the built-in \texttt{multiprocessing} library has a great API, however, it still takes about a dozen lines to do a parallel mapping task with a progress bar. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a single-line, routine task. +A function called \texttt{parallel\_map()} is implemented which closely mimics the API of the built-in Python function: \texttt{map}. And it exemplifies how even a close to trivial function is able to improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the built-in \texttt{multiprocessing} library has a great API. However, doing a parallel mapping task with a progress bar still takes about a dozen lines. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a single-line, routine task. \subsection{Deployment approach} -Some of the expectations one might have for data-intensive (such as AI) software are similar to that for software in general. These are also captured by the best practices: \textit{Use Continuous Integration}, \textit{Automate Model Deployment}, and \textit{Enable Automatic Roll Backs for Production Model} to name a few. It is important to notice that these have been already solved by software engineering, more specifically, by the DevOps paradigm \cite{leite2019survey}. -In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, I suggest we wrap the applications in a format which is more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications, thus, allowing them to reuse those for AI applications seems to be the most convenient approach. +Some of the expectations one might have for data-intensive (such as AI) software are similar to that for software in general. These are also captured by the best practices: \textit{Use Continuous Integration}, \textit{Automate Model Deployment}, and \textit{Enable Automatic Roll Backs for Production Model} to name a few. It is important to notice that these have already been solved by software engineering, more specifically, by the DevOps paradigm \cite{leite2019survey}. +In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, I suggest we wrap the applications in a format more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications; thus, allowing them to reuse those for AI applications seems to be the most convenient approach. -Based on personal empirical evidence, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, in order to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. +Based on personal empirical evidence, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. -The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design} which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. +The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. \begin{listing}[!ht] \begin{minted}[ @@ -159,9 +159,9 @@ def greeter(name: str) -> str: \label{listing:hello-world} \end{listing} -Coincidentally, deployment best practices can be easily implemented in this wrapper layer. In the first iteration these are: input validation, persisting traces, online monitoring, and generating documentation. Input validation may be used to \textit{Check that Input Data is Complete, Balanced and Well Distributed}. Traces are important for both \textit{Log Production Predictions with the Model's Version and Input Data} and \textit{Provide Audit Trails}. However, traces can also indirectly help \textbf{Robustness}, because even production systems cannot be expected to be perfect. Saving and letting the users filter on encountered errors while allowing them to correlate it with the input causing it is imperative for facilitating debugging. Lastly, monitoring and documentation correspond with helping best practices: \textit{Continuously Monitor the Behaviour of Deployed Models} and \textit{Communicate, Align, and Collaborate With Others} respectively. +Coincidentally, deployment best practices can be easily implemented in this wrapper layer. In the first iteration, these are input validation, persisting traces, online monitoring, and generating documentation. Input validation may be used to \textit{Check that Input Data is Complete, Balanced and Well Distributed}. Traces are essential for both \textit{Log Production Predictions with the Model's Version and Input Data} and \textit{Provide Audit Trails}. However, traces can also indirectly help \textbf{Robustness} because even production systems cannot be expected to be perfect. Saving and letting the users filter on encountered errors while allowing them to correlate those with the inputs producing them is imperative for facilitating debugging. Lastly, monitoring and documentation correspond with helping best practices: \textit{Continuously Monitor the Behaviour of Deployed Models} and \textit{Communicate, Align, and Collaborate With Others} respectively. -To allow customising the service's behaviour to fit different use-cases, the default configurations can be overridden by calling some functions of the library. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. +To allow customising the service's behaviour to fit different use cases, the default configurations can be overridden by calling some library functions. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. \begin{listing}[!ht] \begin{minted}[ @@ -189,12 +189,12 @@ assert add_number(1).output == 5 \subsection{Summary} -After implementing some features of the library, it can be already used for deploying the previously discussed domain prediction model. In this case, online prediction is expected, hence, the REST API-based deployment is chosen which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. At the end, users can see one more tag in the header section of publication evaluations where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how it fares in a more complex case. +After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how it fares in a more complex case. \begin{figure} \centering \includegraphics[width=0.7\linewidth]{figures/dashboard-domains.png} \captionsetup{width=.9\linewidth} - \caption{Screenshot of the domain prediction integrated into the ScoutinScience platform where it is used as a filtering option.} + \caption{Screenshot of the domain prediction integrated into the ScoutinScience platform, where it is used as a filtering option.} \label{fig:dashboard-domains} \end{figure} diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index e29415f..ec35483 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -2,27 +2,27 @@ The ScoutinScience Dashboard contains a full-page evaluation view for academic publications. On this, the known metadata, historical trends about the paper's topics, social media mentions, a PDF viewer showing the document, and other augmentation tools are displayed. One of these is the \textit{Highlights} section, which aims to summarise the paper from a technology-transfer perspective. -The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended by the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but not adequate for providing an accurate overview. Thus, this is the baseline that I attempt to improve on in this section. +The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended with the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but inadequate for providing an accurate overview. Thus, this is the baseline that I attempt to improve on in this section. \begin{displayquote} -Compared with Section \ref{section:simple-case}, this time around, the toolset of \textit{GreatAI} is available at our disposal. Hopefully, this will streamline the development and --- especially --- the deployment. Given its arguably higher complexity, the experiment falls closer to industrial use-cases, and hence, can give more accurate feedback on how to further improve the API. +Compared with Section \ref{section:simple-case}, this time around, the toolset of \textit{GreatAI} is available at our disposal. Hopefully, this will streamline the development and --- especially --- the deployment. Given its arguably higher complexity, the experiment falls closer to industrial use cases, and hence, can give more accurate feedback on how to further improve the API. \end{displayquote} \subsection{Background} Automatic text summarisation (ATS) is also one of the earliest established tasks of text analysis and boasts numerous promising results \cite{el2021automatic}. Text summarisation is usually divided into extractive and abstractive approaches. Even though the latter can lead to more fluent summaries, it is also prone to hallucinate content that is unfaithful to the input \cite{maynez2020faithfulness}. For this reason, extractive techniques are preferred in this case. -Our problem requires generating a special type of summary: it must only concern a single aspect (tech-transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp} but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. +Our problem requires generating a special type of summary: it must only concern a single aspect (tech transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp} but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. -Numerous discussions and interviews with business developers over the last two years made it clear that there is no universally agreed on definition of it. At least, all of them agree that they know it when they see it. Additionally, most of them agree that they can confidently make a decision at the granularity of sentences. This gives rise to an obvious idea: show the experts something that they can annotate. Because the time of experts is valuable, and relevant sentences are few and far between, extra care needs to be taken to improve the ratio of positive examples in the dataset. The research of Iwatsuki Kenichi on formulaic expressions (FEs) \cite{iwatsuki2020evaluation,iwatsuki2021extraction,iwatsuki2021communicative,iwatsuki2022extraction} provides a promising direction to do so. +Numerous discussions and interviews with business developers over the last two years made it clear that there is no universally agreed-on definition of it. At least, all of them agree that they know it when they see it. Additionally, most of them agree that they can confidently make a decision on the granularity of sentences. This gives rise to an obvious idea: show the experts something they can annotate. Because experts' time is valuable, and relevant sentences are few and far between, extra care needs to be taken to improve the ratio of positive examples in the dataset. The research of Iwatsuki Kenichi on formulaic expressions (FEs) \cite{iwatsuki2020evaluation,iwatsuki2021extraction,iwatsuki2021communicative,iwatsuki2022extraction} provides a promising direction to do so. -A formulaic expression is a phrase with zero or more ``slots'' which when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground-truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. +A formulaic expression is a phrase with zero or more ``slots'' which, when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground-truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. \subsection{Methods} In order to compile a new dataset, experts are asked to judge sentences that passed an \textit{intention check}. This pooling approach is commonly used in the field of information retrieval \cite{schutze2008introduction}. The filtering is expected to sieve out sentences that are probably not relevant from a technology-transfer perspective using Iwatsuki's formulaic expression intention classes. Subsequently, relevance judgements --- in the form of \textit{interesting} or \textit{not interesting} labels --- are gathered for the remaining sentences. This method turns the extractive summarisation into a binary classification task for which a SciBERT model \cite{beltagy2019scibert} can be finetuned. Ultimately, the summaries are derived from sentences that are selected by the classifier trained on the experts' annotations. -We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after aspect, this may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents and the sparseness of the selected sentences, that any combination of them is likely to have low redundancy. +We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents and the sparseness of the selected sentences, that any combination of them is likely to have low redundancy. \subsection{Results} @@ -32,7 +32,7 @@ For the first iteration, 1500 sentences were selected for 2 experts to annotate \centering \includegraphics[width=0.75\linewidth]{figures/annotator.png} \captionsetup{width=.9\linewidth} - \caption{Annotator UI showing a single sentence and the two possible labels that can be assigned to it based on its relevance to technology transfer.} + \caption{Annotator UI showing a single sentence and the two possible labels that can be assigned based on its relevance to technology transfer.} \label{fig:annotator} \end{figure} @@ -40,17 +40,17 @@ For the first iteration, 1500 sentences were selected for 2 experts to annotate \kappa_{agreement} \equiv \frac{p_{observed} - p_{expected}}{1 - p_{expected}} = 1 - \frac{1 - p_{observed}}{1 - p_{expected}} \end{equation} -The next step is finetuning SciBERT with the help of HuggingFace transformers \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. From the train split, a validation split is also derived which is used for early stopping. The objective function is the F1-score of the positive class and the early stopping patience is 5 epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. +The next step is finetuning SciBERT with the help of HuggingFace transformers \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. From the train split, a validation split is also derived, which is used for early stopping. The objective function is the F1-score of the positive class and the early stopping patience is 5 epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. \begin{displayquote} -\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seeds values and, for example, end up with different datapoints in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. To facilitate reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own, however, in some cases, it can result in one fewer step to miss. +\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different datapoints in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. To facilitate reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own, however, in some cases, it can result in one fewer step to miss. \end{displayquote} \begin{displayquote} -\textbf{Utility of LargeFiles} For the purposes of the documentation, the finetuning was conducted in the Google Colab online environment which is excellent for providing anyone with GPU-time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by handling the uploads and downloads automatically. Of course, first, backwards compatibility had to be solved for Python 3.7 which is the only available environment in Colab. +\textbf{Utility of LargeFiles} For the purposes of the documentation, the finetuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by handling the uploads and downloads automatically. Of course, first, backwards compatibility had to be solved for Python 3.7, which is the only available environment in Colab. \end{displayquote} -The best validation results were achieved after 8 epochs which was slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless the subjective definition of the task, SciBERT manages to achieve good quality which is indicated by an F1-score of \textbf{0.89}. +The best validation results were achieved after 8 epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the subjective definition of the task, SciBERT manages to achieve good quality which is indicated by an F1-score of \textbf{0.89}. \begin{figure} \centering @@ -62,41 +62,41 @@ The best validation results were achieved after 8 epochs which was slightly more Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the ``highlights'' are supposed to reflect the same aspect of papers, therefore, we can reasonably expect some correlation between them. -Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the finetuned model in 4 categories (grades) of papers. The two datasets come from non-overlapping sets of papers, hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences found by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. +Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the finetuned model in 4 categories (grades) of papers. The two datasets come from non-overlapping sets of papers; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences found by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. \begin{figure} \centering \includegraphics[width=0.85\linewidth]{figures/highlights-histograms.png} \captionsetup{width=.9\linewidth} - \caption{Distribution of mean predicted summary candidate sentence counts in 4 categories. Category \texttt{A} correspond to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale.} + \caption{Distribution of mean predicted summary candidate sentence counts in 4 categories. Category \texttt{A} corresponds to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale.} \label{fig:histograms} \end{figure} \subsection{Deployment} -To implement the summarisation, at most the top 7 selected sentences are chosen as ranked by their log-probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list is applied to the scores in order not to highlight the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. +To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log-probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list is applied to the scores in order not to highlight the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. \begin{displayquote} -\textbf{Design inspiration} In order to get insights into their inner workings, HuggingFace models can be given \texttt{output\_attentions=True} in their constructor which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attentions for the UI are calculated with this expression: +\textbf{Design inspiration} In order to get insights into their inner workings, HuggingFace models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the UI are calculated with this expression: \begin{minted}[ baselinestretch=1, ]{python} np.sum(result.attentions[-1].numpy()[0], axis=0)[0][1:-1] \end{minted} -Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API which can be achieved by the use of typehints, descriptive property names, and docstrings. +Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API which can be achieved by the use of type hints, descriptive property names, and docstrings. \end{displayquote} \begin{figure} \centering \includegraphics[width=1\linewidth]{figures/dashboard-highlights.png} \captionsetup{width=.9\linewidth} - \caption{The tech-transfer summary of an academic publication (\cite{bruns2022deep}). The titles and sentences can be clicked for navigating the paper on the right, meanwhile some explanation is provided by the highlighted words, the opacity of which corresponds to their attention weights.} + \caption{The tech-transfer summary of an academic publication (\cite{bruns2022deep}). The titles and sentences can be clicked to navigate the paper on the right. Meanwhile, some explanation is provided by the highlighted words, the opacity of which corresponds to their attention weights.} \label{fig:dashboard-highlights} \end{figure} \section{Improving GreatAI} -After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions are presented that were motivated by the \textit{Highlights service}. After which, the final surface of the API is described and evaluated by its relation to the SE4ML \cite{serban2020adoption,serban2021practices} and AI engineering \cite{john2020architecting,john2020ai} best practices. +After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions that were motivated by the \textit{Highlights service} are presented. After which, the final surface of the API is described and evaluated by its relation to the SE4ML \cite{serban2020adoption,serban2021practices} and AI engineering \cite{john2020architecting,john2020ai} best practices. \subsection{Caching} @@ -104,15 +104,15 @@ Sustainability is an increasingly crucial concern of ethical AI \cite{van2021sus \subsection{Revisiting \texttt{parallel\_map}} -Even though most inference functions are CPU-bound, turns out, sometimes they involve IO, especially, when relying on the results of other, remote models. This means that a significant performance improvement can be achieved by implementing some inference functions asynchronously \cite{tilkov2010node}. Thus, \textit{GreatAI} also has to support decorating both regular (synchronous) and asynchronous functions. There is one notable consequence of this: the batch processing feature also has to be compatible with \texttt{async} inference functions. Batch processing is still a useful feature since it is likely that async inference functions are both IO (remote calls) and CPU (local evaluation) constrained at the same time, thus, they can benefit from multi-core parallelisation. +Even though most inference functions are CPU-bound, it turns out that sometimes they involve IO, especially when relying on the results of other remote models. This means a significant performance improvement can be achieved by implementing some inference functions asynchronously \cite{tilkov2010node}. Thus, \textit{GreatAI} also has to support decorating both regular (synchronous) and asynchronous functions. One notable consequence of this is that the batch processing feature also has to be compatible with \texttt{async} inference functions. Batch processing is still a helpful feature since it is likely that async inference functions are both IO (remote calls) and CPU (local evaluation) constrained at the same time. Thus, they can benefit from multi-core parallelisation. However, the standard library's \texttt{multiprocessing}, the third party \texttt{multiprocess} \cite{mckerns2012building}, and, another popular library, \texttt{joblib}\footnote{\href{https://joblib.readthedocs.io/en/latest/}{joblib.readthedocs.io/en/latest}} all lack the support for efficiently parallelising async functions. For this reason, \texttt{parallel\_map} is reimplemented to create an event-loop in each worker process to keep the efficiency of non-blocking IO while also providing parallelisation for the CPU-bound sections of code. \subsection{Programmatic integration} -Apart from supporting \texttt{async} calls, there are a couple of more step that can be taken to help integrating any service with a \textit{GreatAI} deployment. This is implemented by the \texttt{call\_remote\_great\_ai} function which hides the networking required to call a \textit{GreatAI} instance's REST API. It takes care of validation, automatic retries, serialisation, and deserialisation. This comes with the added benefit of encouraging decoupled services because the friction of integrating them is no longer noticeable which is beneficial for human collaboration \cite{hasselbring2002component}. +Apart from supporting \texttt{async} calls, a couple more steps can be taken to help integrate any service with a \textit{GreatAI} deployment. This is implemented by the \texttt{call\_remote\_great\_ai} function which hides the networking required to call a \textit{GreatAI} instance's REST API. It takes care of validation, automatic retries, serialisation, and deserialisation. This comes with the added benefit of encouraging decoupled services because the friction of integrating them is no longer noticeable, which is beneficial for human collaboration \cite{hasselbring2002component}. -Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata proved to be key features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. +Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata, proved to be key features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. \begin{figure} \centering @@ -124,13 +124,13 @@ Additionally, a REST API is generated with its accompanying OpenAPI schema\footn \subsection{Human integration} -Even though the REST API of \textit{GreatAI} services exposes all necessary features\footnote{Such as providing feedback per prediction, complexly filtering and sorting traces, create-read-update-delete (CRUD) operations for the feedback and traces, accessing live monitoring info (current configuration, versions, cache statistics), etc.} which are great for programmatic access, these are not ideal for direct human consumption. In order to ease the introduction of \textit{GreatAI} services, a rudimentary dashboard is --- optionally --- generated next to the REST API. The dashboard's main features can be observed in Figures \ref{fig:greatai-header}, \ref{fig:greatai-table}, and \ref{fig:greatai-parallel}. The diagrams and filterable/sortable table are interconnected and are automatically updated, the reactive behaviour is provided by the Dash framework \cite{shammamah_hossain-proc-scipy-2019}. +Even though the REST API of \textit{GreatAI} services exposes all necessary features\footnote{Such as providing feedback per prediction, complexly filtering and sorting traces, create-read-update-delete (CRUD) operations for the feedbacks and traces, accessing live monitoring info (current configuration, versions, cache statistics), etc.} which are great for programmatic access, these are not ideal for direct human consumption. To ease the introduction of \textit{GreatAI} services, a rudimentary dashboard is --- optionally --- generated next to the REST API. The dashboard's main features can be observed in Figures \ref{fig:greatai-header}, \ref{fig:greatai-table}, and \ref{fig:greatai-parallel}. The diagrams and filterable/sortable table are interconnected and are automatically updated; the reactive behaviour is provided by the Dash framework \cite{shammamah_hossain-proc-scipy-2019}. \begin{figure} \centering \includegraphics[width=1\linewidth]{figures/greatai-header.png} \captionsetup{width=.9\linewidth} - \caption{The header of the automatically generated dashboard of the service from Section \ref{section:simple-case}. A documentation is generated on the left, while the histogram of response times is shown on the right. The current configuration is prominently displayed on the bottom.} + \caption{The header of the automatically generated dashboard of the service from Section \ref{section:simple-case}. A generated documentation is shown on the left, while the histogram of response times is rendered on the right. The current configuration is prominently displayed on the bottom.} \label{fig:greatai-header} \end{figure} diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index 799812d..1b60bf1 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -1,15 +1,15 @@ \chapter{Results} \label{chapter:interviews} -It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially when it comes to packaging and deploying AI/ML services. My goal was to design a library with an API that finds the balance between being simple enough to adopt without friction, yet useful/powerful enough to be adopted. Simplicity is subjective and it will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. +It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially, when it comes to packaging and deploying AI/ML services. My goal was to design a library with an API that finds the balance between being simple enough to adopt without friction, yet useful/powerful enough to be adopted. Simplicity is subjective and it will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. -For answering \textbf{RQ3} --- \textit{To what extent can \textit{GreatAI} automatically implement AI deployment best practices?} --- a comparison is presented in the following that illustrates which best-practices can be implemented/scaffolded/configured with little user input; hence, through a simple and streamlined API. Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} summarise the implemented best practices in the context of practices found by prior surveys of scientific and grey literature \cite{serban2020adoption,serban2021practices,john2020architecting}. +\section{Features} \label{section:features} -In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Fully automated}, \textit{Supported}, and \textit{Partially supported}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, these tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use typehints in their code and it contains more complex control flow, it can only be partially typechecked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make effort to fully implement it. +For answering \textbf{RQ3} --- \textit{To what extent can \textit{GreatAI} automatically implement AI deployment best practices?} --- a comparison is presented in the following that illustrates which best practices can be implemented/scaffolded/configured with little user input; hence, through a simple and streamlined API. Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} summarise the implemented best practices in the context of methods found by prior surveys of scientific and grey literature \cite{serban2020adoption,serban2021practices,john2020architecting}. + +In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Fully automated}, \textit{Supported}, and \textit{Partially supported}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, these tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use typehints in their code and it contains a more complex control flow, it can only be partially type-checked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make effort to fully implement it. This is not the case for \textit{Log production predictions with the model's version and input data} because by default, it is automatically implemented when calling \texttt{@GreatAI.create}. Users can still specify the exact expected behaviour, e.g.: where to store traces, additional metrics to log, or disabling the logging of sensitive input. Nevertheless, without input from the library's user, the best practice is already reasonably well implemented. -In Table \ref{table:best-practices-2}, six additional best practices have been added which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These have not explicitly made it into the aforementioned surveys, however according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. - \begin{table} \centering \begin{threeparttable} @@ -23,7 +23,7 @@ In Table \ref{table:best-practices-2}, six additional best practices have been a Use sanity checks for all external data sources\textsuperscript{1} & \texttt{@parameter} & \checkmark \\\hline Check that input data is complete, balanced, and well distributed\textsuperscript{1} & \texttt{@parameter} & $\sim$ \\\hline Write reusable scripts for data cleaning and merging (for NLP)\textsuperscript{1} & \texttt{utilities} & \checkmark\checkmark \\\hline -Make data sets available on shared infrastructure\textsuperscript{1} & \texttt{large\_file} & \checkmark\checkmark \\\hline +Make datasets available on shared infrastructure\textsuperscript{1} & \texttt{large\_file} & \checkmark\checkmark \\\hline Test all feature extraction code (for NLP)\textsuperscript{1} & \texttt{utilities} & \checkmark\checkmark \\\hline Employ interpretable models when possible\textsuperscript{1} & \texttt{views} & $\sim$ \\\hline Continuously measure model quality and performance\textsuperscript{1, 2} & Feedback API & \checkmark \\\hline @@ -41,7 +41,7 @@ Log production predictions with the model's version and input data\textsuperscri \begin{tablenotes} \item[1] SE4ML best practices from Table 2 of \cite{serban2020adoption}, and Table 1 of \cite{serban2021practices}. \item[2] Reported state-of-the-art and state-of-practice practices from Tables 2, 3, and 4 of \cite{john2020architecting}. - \end{tablenotes} +\end{tablenotes} \end{threeparttable} \end{table} @@ -81,17 +81,135 @@ Common schemas for common prediction tasks\textsuperscript{3} \begin{tablenotes} \item[2] Reported state-of-the-art and state-of-practice practices from Tables 2, 3, and 4 of \cite{john2020architecting}. \item[3] Additional software engineering best practices applicable to AI/ML deployments encountered while designing and using \textit{GreatAI}. - \end{tablenotes} +\end{tablenotes} \end{threeparttable} \end{table} -Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide --- sometimes overlapping --- range. Especially because there is some overlap between the different reviews and even within the reviews. However, it is still clear that a large number of best practices can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design while and even larger number of them can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). +\FloatBarrier + +In Table \ref{table:best-practices-2}, six additional best practices have been added which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These have not explicitly made it into the aforementioned surveys, however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. + +Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide --- sometimes overlapping --- range. Especially because there is some overlap between the different reviews and even within the reviews. However, it is still clear that a large number of best practices can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design while an even larger number of them can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). \section{Interviews} \label{section:interviews} -Let us finally tackle the question of generalisability using the interview methodology described in Section \ref{section:interview-setup}. +One of the takeaways of Chapter \ref{chapter:background} was that, for example, Seldon Core is useful for implementing or helping to implement many of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single best practice. According to the adoption rate surveys, this presumably discourages a large portion of practitioners from using it or other similar frameworks. \textit{GreatAI} offers a different mix of features, the initial threshold is virtually non-existent: best practices can be immediately applied. But at the same time, the presented solution covers a smaller number of practices. -One of the takeaways of Chapter \ref{chapter:background} was that Seldon Core is useful for implementing or helping to implement most best practices. Nonetheless, it also has an initial threshold that must be surmounted before implementing even a single best practice. According to the adoption rate surveys, this discourages a large portion of practitioners from using it or other similar frameworks. \textit{GreatAI} offers a different mix of features, the initial threshold is virtually non-existent: best practices can be immediately applied. But at the same time, the presented solution covers a smaller number of practices. The hypothesis is that the latter approach aligns better with the expectations of professionals. +The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with 10 industry practitioners of varying AI/ML and SE experience and backgrounds. In this Section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered from the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median experience of 2.5 years) and Software Engineering (with a median experience of 2 years). + +\subsection{Best practices survey} + +The practitioners were first asked to fill out a questionnaire about their latest AI/ML project, which involved deployment. This point-in-time survey (shown in Appendix \ref{appendix:practices}) served to measure a baseline for the deployment quality they are used to. Analysing the results show that the amount of software engineering experience has a moderately strong correlation ($r_{Pearson} = 0.67$ with $p = 0.0033$) with the overall number and extent of implemented deployment best practices. This is illustrated in Figure \ref{fig:adoption}. Interestingly, there is no similar statistically significant relationship when it comes to the amount of data science experience. + +The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. Because the survey's 15 questions were compiled from Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}. + +\begin{figure} + \centering + \includegraphics[width=0.7\linewidth]{figures/best-practices.png} + \captionsetup{width=.9\linewidth} + \caption{Best practices adoption rate as a function of software engineering experience. The point sizes denote the practitioners' experience in Data Science (DS). The correlation between the axes is $r_{Pearson} = 0.67$ with $p = 0.0033$.} + \label{fig:adoption} +\end{figure} + +\subsection{Technology acceptance} + +Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and the Intention to use (ITU) were analysed. Only two statistically significant ($P < 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable that both the perceived utility and the perceived ease of use play an equally important role in influencing potential clients' intention to use the deployment framework. + +\begin{table}[H] +\centering +\captionsetup{width=.9\linewidth} +\caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The values are from a range between 1 and 7.} +\label{table:tam} +{\renewcommand{\arraystretch}{1.2} % for the vertical padding +\begin{tabular}{|c|r|r|r|} \hline + & \textbf{Perceived ease of use} & \textbf{Perceived utility} & \textbf{Intention to use} \\\hline +\textbf{Median} & 5.750 & 6.375 & 6.250 \\\hline +\textbf{Mean} & 5.450 & 6.125 & 5.950 \\\hline +\textbf{Variance} & 1.080 & 0.740 & 1.747 \\\hline +\end{tabular}} +\end{table} + +The summary of the answers is presented in Table \ref{table:tam}. The value for ease of use lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high perceived utility implies that \textit{GreatAI} shows its value early on. This validates the hypothesis that focusing on good API design is just as important as providing practical features. + +\subsection{Task solving \& exit interviews} + +To give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. First, the volunteers were requested to skim through the library's documentation beforehand, and they were also given a short verbal overview during the one-on-one meetings. This was followed by having them solve a prepared deployment task\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}.} concerning a similar lifecycle to that presented in the \textit{GreatAI} tutorials. The training part of the task had already been done, the participants only had to deploy a trained classification model. + +The participants' backgrounds cover a vast (and incredibly interesting) cross-section of industrial AI/ML use: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they have been doing recently. Stemming from this diversity, these semi-structured interviews should provide valuable insights into the generalisability of \textit{GreatAI}. + +% The approach used to collect information from interviews and to report data +% is based on the guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} It is a reflexive, +% iterative process: +% 1. Audio taping of the interview and concurrent note-taking. +% 2. Reflective journaling immediately post-interview. +% 3. Listening to the audiotape and revising memos. +% 4. Triangulation. +% 5. Data analysis. + +% The first two authors conducted the interviews, which took approximately one +% hour. We took notes during the interviews and we recorded the interviews with +% the permission of the participants. An example of the notes taken with P09 is +% shown in Fig. 4. This section outlines the main steps of our interview design. +% The full details can be found in our corresponding case study protocol [14]. + +% Also, the process of memoing assisted +% the researchers to capture their thoughts and interpretations of the interview +% data [44]. The audio recordings could still be used to facilitate a review of +% the interviewers’ performance, and assist interviewers to fill in blank spaces in +% their field notes and check the relationship between the notes and the actual +% responses [12]. + +% . Thematic analysis is a qualitative data analysis +% method divided into four steps: 1) familiarization with data, 2) generating +% initial labels, 3) reviewing themes, 4) defining and naming themes. This tech- +% nique has been successfully used in previous software engineering studies to +% extract patterns from software [9]. + +% This step was followed by reviewing themes – step 3 of thematic analysis – +% in which we discussed each label and looked for other labels that could be +% redundant. For example, we merged the labels Feasibility Study and Proof of +% Concept together into a single theme. This step yielded 11 overarching themes +% that we further detail in Section 4. +% ----------------------------- + +### functionality (PU) ++ You get a lot of features ++ Debugging traces is nice, had some privacy concerns but was easy to find the solution in the docs -> disable\_logging=True ++ it forces you to do Human in the loop ++ Private cloud is very important in banking/treasury ++ Scales well because doesn't depend on 1 DB ++ Utilities good, hate writing feature extraction, Parallel feature extraction is fascinating, + Great for NLP, should work for other domains if utilities are implemented ++ being extendable very important because if you start using it you get locked into it ++ important to have support for all libs e.g. external matlab ++ Largefile good, haven't heard of other solutions, versioning important -> awareness + +### API (PEOU) +- Do data scientists know what decorators are? +- Parameter decorators on the function are bit weird but doesn't know how to do it better +You cannot make an API simpler than the domain but you made it as simple as it could get - Magic save, where does it go? Transparency, balance between too automatic and simple ++ Hates complicated CLI-s, great-ai is very simple ++ Likes Docker, researchers know that +- Won't use if it doesn't work out-of-the-box (this time, it worked, but focusin on the starter code is important) +- Want clickable UI for setting the config - scientists (matlab deployment) + +### Whose responsibility is this? (ITU) +- If I had to implement a REST API for a model, I'd do that instead of searching for a lib +Easier to raise awareness if you have a solution + +research CD very poor and even industrial projects are sometimes one-man +Cron job runs Matlab script that copies it to the prod env +They used Colab + GitHub + W&B for the treasury -> Add one-click app, heroku +- Already using AWS, sagemaker is preferred + +- Trying to appeal to both DS and SE was confusing at first, why training in tutorial if it's a deployment lib +- Whose responsibility is using the lib? - What happens when you have to configure it? ++ You need so many different experts for a single project, too many, SE is often missing +- AI is mostly used in academy, they have no reason to do good deployment or deployment at all +DS, domain experts don't care about best-practices, End results should look nice, no one cares about behind the scenes +You have to give a value proposition: low maintenance, low cost, better quality +At one company, they had 0 DS people for 3 years, High-level solution can substitute missing professionals imo +Shouldn't care about DS but instead decision-makers because they chose not to hire SE + + You can have fewer SE-s instead of 0 but still more than 0 and they're effective with great-ai \subsection{Threats to validity} @@ -101,7 +219,7 @@ The primary purpose of \textit{GreatAI} was to serve as a proxy through which it \subsection{More data science} -The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, unsurprisingly, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON compatible data while the latter gives robust feature extraction support for only textual inputs. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview for them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for widely extending the scope of applicability of \textit{GreatAI}. +The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, unsurprisingly, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data while the latter gives robust feature extraction support for only textual inputs. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview for them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for widely extending the scope of applicability of \textit{GreatAI}. \subsection{More software engineering} @@ -109,6 +227,6 @@ In order to greatly simplify its API, each \textit{GreatAI} Trace is a single do As described in Designing Data-intensive Applications \cite{kleppmann2017designing}, services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems). As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. -Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces can be already conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration steps. +Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces can be already conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. -The common theme among the above-mentioned opportunities is that they could be reasonably well implemented without any user input, making them inline with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} also allows anyone to already provide support for a wide range of integrations. Additionally, the scope could be also reasonably extended, i.e. more practices could be covered by including more criteria next to the GREAT ones. +The common theme among the above-mentioned opportunities is that they could be reasonably well implemented without any user input, making them in line with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} also allows anyone to already provide support for a wide range of integrations. Additionally, the scope could be also reasonably extended, i.e. more practices could be covered by including more criteria next to the GREAT ones. diff --git a/docs/thesis/chapters/7_conclusion.tex b/docs/thesis/chapters/7_conclusion.tex index a9b1271..bf9b628 100644 --- a/docs/thesis/chapters/7_conclusion.tex +++ b/docs/thesis/chapters/7_conclusion.tex @@ -2,8 +2,6 @@ todo -\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments --- while at the same time --- saves them from the menial work of implementing these constructs manually. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is viable by designing narrower and deeper APIs. +\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments --- while, at the same time, it saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is viable by designing narrower and deeper APIs. -Good deployments benefit all of us. Continued research into the means of good deployments remains crucial. However, next to that --- as the presented results show --- better deployments can be also achieved by facilitating the \textit{transition} step of the AI lifecycle. Having automated implementations, even if for just simpler best practices, leaves professionals more time to tackle other deployment challenges and less opportunities to miss crucial steps. Overall, resulting in more implemented practices, hence, robust and trustworthy production software. - -\section{Concluding remarks} +Good deployments benefit all of us. Henceforth, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results show --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle. Having automated implementations, even if for just more straightforward best practices, leaves professionals more time to tackle other deployment challenges and fewer opportunities to miss crucial steps. Overall, resulting in more implemented practices, hence, robust and trustworthy production software. diff --git a/docs/thesis/chapters/appendix.tex b/docs/thesis/chapters/appendix.tex index 9909fd5..f3a97bc 100644 --- a/docs/thesis/chapters/appendix.tex +++ b/docs/thesis/chapters/appendix.tex @@ -2,18 +2,18 @@ \chapter{Best practices assessment} \label{appendix:practices} -Similar to the approach of \cite{serban2020adoption}, participants are asked about their team's level of AI/ML deployment best practices adoption. The questions come from the entries of Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} where \textit{GreatAI} was determined to provide a support level of \textit{Fully automated}. +Similarly to the approach of \cite{serban2020adoption}, participants are asked about their team's level of adoption of AI/ML deployment best practices. The questions come from the entries of Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} where \textit{GreatAI} was determined to provide a support level of \textit{Fully automated}. -\textbf{How well did the previous AI deployment that you have collaborated on implemented the following best-practices?} \textit{Each statement can be rated on a 5-point Likert scale or as ``Not applicable''.} +\textbf{How well did the previous AI deployment that you collaborated on implement the following best practices?} \textit{Each statement can be rated on a 5-point Likert scale or as ``Not applicable''.} \begin{enumerate} \item Write reusable scripts for data cleaning and merging -\item Make data sets available on shared infrastructure +\item Make datasets available on shared infrastructure \item Use versioning for data, model, configurations and training scripts \item Continuously monitor the behaviour of deployed models \item Log production predictions with the model's version 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[:material-database: Examine data](data.ipynb){ .md-button .md-button--primary } @@ -37,14 +37,14 @@ We load and analyse the data by calculating inter-rater reliability and checking We simply fine-tune SciBERT. -After training and evaluating a model, it is exported using [great_ai.save_model][]. For more info, checkout [the configuration how-to page](/how-to-guides/configure-service). +After training and evaluating a model, it is exported using [great_ai.save_model][]. For more info, check out [the configuration how-to page](/how-to-guides/configure-service). ### [Deployment notebook](deploy.ipynb) -We customise the GreatAI configuration, create custom cahcing for the model and implement an inference function that can be hardened by wrapping it in a [GreatAI][great_ai.GreatAI] instance. We also extract the attention weights as a quasi-explanation. +We customise the GreatAI configuration, create custom caching for the model and implement an inference function that can be hardened by wrapping it in a [GreatAI][great_ai.GreatAI] instance. We also extract the attention weights as a quasi-explanation. Finally, we test the model's inference function through the GreatAI dashboard. [The only thing left is to deploy the hardened service properly.](/how-to-guides/use-service) #### [Additional files](additional-files.md) -There are some other files required for deploying the notebook. For example, the config file for S3 and MongoDB or a Dockerfile for building a custom image. These are compiled and shown on a separate page. +There are some other files required for deploying the notebook. For example, the config file for S3 and MongoDB or a Dockerfile for building a custom image. These are gathered and shown on a separate page. diff --git a/docs/explanation.md b/docs/explanation.md index 906065f..f37ee5f 100644 --- a/docs/explanation.md +++ b/docs/explanation.md @@ -1,6 +1,6 @@ # Explanation -A lot more details and discussion about the problem context and approaches of GreatAI along with its evaluation can be found in my thesis. +A lot more details and discussion about the problem context and approaches of GreatAI, along with its evaluation, can be found in my thesis.
front page diff --git a/docs/how-to-guides/call-remote.md b/docs/how-to-guides/call-remote.md index fb96fc8..7ba80e6 100644 --- a/docs/how-to-guides/call-remote.md +++ b/docs/how-to-guides/call-remote.md @@ -1,6 +1,6 @@ # How to call remote GreatAI instances -Microservices architecture (or [SOA](https://en.wikipedia.org/wiki/Service-oriented_architecture)) work well with ML applications. This is because their interfaces are usually very narrow, while the functionality provided quite comprehensive. Hence, drawing the boundaries of responsibilities is more straightforward in the case of ML services than in the case of more traditional business applications. For this reason, it is common to have a tree of models (preferably wrapped in GreatAI instances) communicating with each other. +Microservices architecture (or [SOA](https://en.wikipedia.org/wiki/Service-oriented_architecture)) work well with ML applications. This is because their interfaces are usually very narrow, while the functionality provided is quite comprehensive. Hence, drawing the boundaries of responsibilities is more straightforward in the case of ML services than in the case of more traditional business applications. For this reason, it is common to have a tree of models (preferably wrapped in GreatAI instances) communicating with each other. Although regular HTTP POST requests could be sent to each service's `/predict` endpoint, `great-ai` comes with two convenience functions: [call_remote_great_ai][great_ai.call_remote_great_ai] and [call_remote_great_ai_async][great_ai.call_remote_great_ai_async] to wrap this request. These provide you with some level of robustness and deserialisation. @@ -44,21 +44,21 @@ results = [ print(results) ``` -1. Only return the outputs so we don't clutter up the terminal. +1. Only return the outputs, so we don't clutter up the terminal. > Run this script as a regular Python script by executing `python3 client.py`. ![screenshot of result](/media/remote-sync.png){ loading=lazy } -As you can see, everything worked as expected. There is one way to improve it though. +As you can see, everything worked as expected. There is one way to improve it, though. ## An `async` example -Let's send multiple requests at the same time to speed up the overall execution time. To do this, we will use the [call_remote_great_ai_async][great_ai.call_remote_great_ai_async] function. +Let's send multiple requests simultaneously to speed up the overall execution time. To do this, we will use the [call_remote_great_ai_async][great_ai.call_remote_great_ai_async] function. ??? note "Why is this possible?" - Note, that in `server.py`, the inference function is declared `async`. This means that multiple "copies" of it can run at the same time in the same thread. Since, there is no CPU bottleneck, the server has a quite large throughput (requests responded to per second), but its latency will stay around 2 seconds due to the async `sleep` command. + Note that in `server.py`, the inference function is declared `async`. This means that multiple "copies" of it can run at the same time in the same thread. Since there is no CPU bottleneck, the server has a quite large throughput (requests responded to per second), but its latency will stay around 2 seconds due to the async `sleep` command. - If your great-ai server is not `async`, higher throughput can be achieved by running multiple instances of it, either manually, or by running it with multiple `uvicorn` workers like this: `ENVIRONMENT=production great-ai server.py --worker_count 4` + If your great-ai server is not `async`, higher throughput can be achieved by running multiple instances of it, either manually or by running it with multiple `uvicorn` workers like this: `ENVIRONMENT=production great-ai server.py --worker_count 4` ### Async client @@ -84,8 +84,8 @@ async def main(): asyncio.run(main()) ``` -> Replace `client.py` with this async client. Note that even though async support is significantly more streamlined in recent Python versions, it still requires a bit more boilerplate than its synchronous counterpart. +> Replace `client.py` with this async client. Note that although async support is significantly more streamlined in recent Python versions, it still requires a bit more boilerplate than its synchronous counterpart. ![screenshot of result](/media/remote-async.png){ loading=lazy } -This also works, and in some use-cases might be considerably quicker. +This also works and might be considerably quicker in some use cases. diff --git a/docs/how-to-guides/configure-service.md b/docs/how-to-guides/configure-service.md index e0fb962..376f773 100644 --- a/docs/how-to-guides/configure-service.md +++ b/docs/how-to-guides/configure-service.md @@ -28,8 +28,8 @@ configure( ) ``` -1. Completely disable caching. -2. The unspecified routes are enabled by default. +1. Completely disable caching. +2. The unspecified routes are enabled by default. ## Using remote storage @@ -63,7 +63,7 @@ model = [4, 3] save_model(model, 'my-model') ``` -1. This line isn't strictly necessary because if `s3.ini` (or `mongo.ini`) is available in the current working directory, they are automatically used to configure their respective LargeFile implementations/databases. +1. This line isn't strictly necessary because if `s3.ini` (or `mongo.ini`) is available in the current working directory, they are automatically used to configure their respective LargeFile implementations/databases. ??? note "Departing from AWS" With the `aws_endpoint_url` argument, it is possible to use any other S3-compatible service such as [Backblaze](https://www.backblaze.com/){ target=_blank }. In that case, it would be `aws_endpoint_url=https://s3.us-west-002.backblazeb2.com`. @@ -77,7 +77,7 @@ MONGO_CONNECTION_STRING=mongodb://localhost:27017 # this is the default value # if `MONGO_CONNECTION_STRING` is specified, this default is overridden MONGO_CONNECTION_STRING=ENV:MONGO_CONNECTION_STRING -MONGO_DATABASE=my-database # it is automatically created if doesn't exist +MONGO_DATABASE=my-database # it is automatically created if it doesn't exist ``` ```python title="use-mongo.py" @@ -99,4 +99,4 @@ By default, a thread-safe version of [TinyDB](https://tinydb.readthedocs.io/en/l ### MongoDB -At the moment, only MongoDB is supported as a production-ready `TracingDatabase`. In order to use it, you have to either place a file named `mongo.ini` in your working directory, or explicitly call either [MongoDbDriver.configure_credentials_from_file][great_ai.MongoDbDriver] or [MongoDbDriver.configure_credentials][great_ai.MongoDbDriver.configure_credentials]. +Currently, only MongoDB is supported as a production-ready `TracingDatabase`. In order to use it, you have to either place a file named `mongo.ini` in your working directory or explicitly call either [MongoDbDriver.configure_credentials_from_file][great_ai.MongoDbDriver] or [MongoDbDriver.configure_credentials][great_ai.MongoDbDriver.configure_credentials]. diff --git a/docs/how-to-guides/create-service.md b/docs/how-to-guides/create-service.md index 868f052..0a8734a 100644 --- a/docs/how-to-guides/create-service.md +++ b/docs/how-to-guides/create-service.md @@ -1,6 +1,6 @@ # How to create a GreatAI service -The core value of `great-ai` lies in its [GreatAI][great_ai.GreatAI] class. In order to take advantage of it, you need to create an instance wrapping your code. +The core value of `great-ai` lies in its [GreatAI][great_ai.GreatAI] class. To take advantage of it, you need to create an instance wrapping your code. Let's say that you have the following greeter function: @@ -20,11 +20,11 @@ def greeter(your_name): ``` ??? info "Why not simply use `@GreatAI?`" - The purpose of [@GreatAI.create][great_ai.GreatAI.create] is simply to provide you with type-checking through MyPy, Pylance, and similar libraries. However, the overloading support for `__new__` is lacking in MyPy, thus, a static factory method is used instead. + The purpose of [@GreatAI.create][great_ai.GreatAI.create] is simply to provide you with type-checking through MyPy, Pylance, and similar libraries. However, the overloading support for `__new__` is lacking in MyPy. Thus, a static factory method is used instead. ## With types -Even though it's not required by GreatAI, [type annotating your codebase](https://realpython.com/python-type-checking/){ target=_blank } can save you from lots of trivial mistakes, that's why it's highly advised. Simply add the expected types to your function's signature. +Even though it's not required by GreatAI, [type annotating your codebase](https://realpython.com/python-type-checking/){ target=_blank } can save you from lots of trivial mistakes; that's why it's highly advised. Simply add the expected types to your function's signature. ```python title="type_safe_greeter.py" from great_ai import GreatAI @@ -34,11 +34,11 @@ def type_safe_greeter(your_name: str) -> str: return f'Hi {your_name}!' ``` -This not only allows you to statically typecheck your code, but by default, GreatAI will check it during runtime as well using [typeguard](https://github.com/agronholm/typeguard){ target=_blank }. +This not only allows you to statically type-check your code, but by default, GreatAI will check it during runtime as well using [typeguard](https://github.com/agronholm/typeguard){ target=_blank }. ## With async -Asynchronous code can result in immense performance gains in certain cases. For example, you might rely on a third-party service, do database access, or [call a remote GreatAI instance](/how-to-guides/call-remote). In these cases, you can simply make your function `async` without any other changes. +Asynchronous code can result in immense performance gains in some instances. For example, you might rely on a third-party service, do database access, or [call a remote GreatAI instance](/how-to-guides/call-remote). In these cases, you can make your function `async` without any other changes. ```python title="async_greeter.py" from great_ai import GreatAI @@ -52,7 +52,7 @@ async def async_greeter(your_name: str) -> str: ## With decorators -GreatAI can decorate already decorated functions. The only restriction is that [@GreatAI.create][great_ai.GreatAI.create] must come last. There are two built-in decorators that you can use to customise your function but you can you use any third-party decorator as well. +GreatAI can decorate already decorated functions. The only restriction is that [@GreatAI.create][great_ai.GreatAI.create] must come last. There are two built-in decorators that you can use to customise your function, but you can use any third-party decorator as well. ### Using `@use_model` @@ -69,10 +69,10 @@ def type_safe_greeter(your_name: str, model) -> str: assert type_safe_greeter('Andras').output == 'Hi Andras' ``` -1. By default, the parameter named `model` will be replaced by the loaded model. This behaviour can be customised by setting the `model_kwarg_name`. This way, even multiple models can be injected into a single function. +1. By default, the parameter named `model` will be replaced by the loaded model. This behaviour can be customised by setting the `model_kwarg_name`. This way, even multiple models can be injected into a single function. !!! important - You must call [@use_model][great_ai.use_model] before [@GreatAI.create][great_ai.GreatAI.create]. Note, that decorators are applied starting from the bottom-most one. Feel free to use [@use_model][great_ai.use_model] in other places of the codebase, it works equally well outside of GreatAI services. + You must call [@use_model][great_ai.use_model] before [@GreatAI.create][great_ai.GreatAI.create]. Note that decorators are applied starting from the bottom-most one. Feel free to use [@use_model][great_ai.use_model] in other places of the codebase, and it works equally well outside GreatAI services. ### Using `@parameter` @@ -93,11 +93,11 @@ assert type_safe_greeter('Andras').output == 'Hi Andras' ``` !!! important - You must call [@parameter][great_ai.parameter] before [@GreatAI.create][great_ai.GreatAI.create]. Note, that decorators are applied starting from the bottom-most one. Feel free to use [@parameter][great_ai.parameter] in other places of the codebase, it works equally well outside of GreatAI services. + You must call [@parameter][great_ai.parameter] before [@GreatAI.create][great_ai.GreatAI.create]. Note that decorators are applied starting from the bottom-most one. Feel free to use [@parameter][great_ai.parameter] in other places of the codebase, and it works equally well outside GreatAI services. ## Complex example -Refer to the following example summarising the options you have when instantiating a GreatAI service. +The following example summarises the options you have when instantiating a GreatAI service. ```python title="complex.py" from great_ai import save_model, GreatAI, parameter, use_model, log_metric @@ -117,4 +117,4 @@ def add_number(positive_number: int, secret: int) -> int: assert add_number(1).output == 5 ``` -1. Refer to [the configuration page](/how-to-guides/configure-service) for specifying where to store your models. +1. Refer to [the configuration page](/how-to-guides/configure-service) for specifying where to store your models. diff --git a/docs/how-to-guides/handle-training-data.md b/docs/how-to-guides/handle-training-data.md index 5a7c16c..8400227 100644 --- a/docs/how-to-guides/handle-training-data.md +++ b/docs/how-to-guides/handle-training-data.md @@ -1,13 +1,13 @@ # How to manage training data -In order to simplify your training data management, `great-ai` provide two complementing approaches for inputting new data-points. +In order to simplify your training data management, `great-ai` provide two complementing approaches for inputting new data points. ## Upload data At the start of your experiments' first iteration, after you've gathered suitable samples for training, you can call [great_ai.add_ground_truth][]. This automatically stores a timestamp and also allows you to assign tags to the data. Using these attributes, [great_ai.query_ground_truth][] can be called to get a filtered view of the training data. !!! important "Train-test-validation splits" - It is a best practice to lock-away the test split of your data that is only used for the final quality assessment. This prevents you from accidentally training on it, or inadvertently tuning the model to have the highest accuracy metrics on the test split. This, of course, may lead to dubious results, hence, care must be taken to avoid it. + It is a best practice to lock away the test split of your data that is only used for the final quality assessment. This prevents you from accidentally training on it or inadvertently tuning the model to have the highest accuracy metrics on the test split. This, of course, may lead to dubious results; hence, care must be taken to avoid it. With [great_ai.add_ground_truth][], there is an option to tag the samples with `train`, `test`, and `validation` randomly, following a predefined distribution. This happens as soon as they're written in the database. Later, these can be queried by providing the name of the appropriate tags. @@ -25,7 +25,7 @@ add_ground_truth( ) ``` -1. Note that the ratios don't have to add up to 1. They are just weights. There is also a `validation_split_ratio` which is 0 by default. +1. Note that the ratios don't have to add up to 1. They are just weights. There is also a `validation_split_ratio` which is 0 by default. ```python >>> from great_ai import query_ground_truth @@ -50,13 +50,13 @@ add_ground_truth( 'trace_id': 'abee0671-beb9-4284-8c3b-c65e5836ce38'})] ``` -1. Expected output. This can be also accessed through the `.output` property. +1. Expected output. This can also be accessed through the `.output` property. 2. The input value is stored here. 3. Notice how `ground_truth` is always included as a tag when using [great_ai.add_ground_truth][]. ## Get feedback -After the initial data gathering, end-to-end feedback can be also integrated into the dataset. +After the initial data gathering, end-to-end feedback can also be integrated into the dataset. The scaffolded REST API contains endpoints for managing traces and their feedbacks. diff --git a/docs/how-to-guides/install.md b/docs/how-to-guides/install.md index 4b82086..fc00e4d 100644 --- a/docs/how-to-guides/install.md +++ b/docs/how-to-guides/install.md @@ -20,16 +20,16 @@ pip install great-ai pyyaml==5.4.1 ## Command-line tools -After installation, `great-ai` and `large-file` are available as commands. The former is required for deploying your application while the latter lets you manage models and datasets from your terminal. +After installation, `great-ai` and `large-file` are available as commands. The former is required for deploying your application, while the latter lets you manage models and datasets from your terminal. ??? note "Snakes & kebabs" - The library is called `great-ai`, therefore, its command-line entrypoint is also called `great-ai`. However, Python module names cannot contain hyphens, that's why you have to `import great_ai` with an underscore. The `great-ai` CLI tool is also available as `python3 -m great_ai`. + The library is called `great-ai`; therefore, its command-line entry point is also called `great-ai`. However, Python module names cannot contain hyphens, that's why you have to `import great_ai` with an underscore. The `great-ai` CLI tool is also available as `python3 -m great_ai`. - To help with the confusion, a CLI executable called `great_ai` (and `large_file`) are also installed, thus, if you prefer, you can always refer to GreatAI using its underscored name variant (`great_ai`). + To help with the confusion, a CLI executable called `great_ai` (and `large_file`) are also installed. Thus, if you prefer, you can always refer to GreatAI using its underscored name variant (`great_ai`). !!! warning "Windows" On Windows, you might encounter a similar warning from `pip`: - > `WARNING: The scripts great-ai.exe, great_ai.exe, large-file.exe and large_file.exe are installed in 'C:\Users\...\Scripts' which is not on PATH.` + > `WARNING: The scripts great-ai.exe, great_ai.exe, large-file.exe and large_file.exe are installed in 'C:\Users\...\Scripts', which is not on PATH.` > `Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.` @@ -37,7 +37,7 @@ After installation, `great-ai` and `large-file` are available as commands. The f ## Update -If you wish to update to the latest version execute: +If you wish to update to the latest version, execute: ```sh pip install --upgrade great-ai diff --git a/docs/how-to-guides/large-file.md b/docs/how-to-guides/large-file.md index e34cb6a..f7babef 100644 --- a/docs/how-to-guides/large-file.md +++ b/docs/how-to-guides/large-file.md @@ -4,12 +4,12 @@ The functions [save_model][great_ai.use_model] and [@use_model][great_ai.use_mod ## Motivation -Oftentimes, especially when working with data-heavy applications, large files can proliferate in a repository. Version controlling them is an obvious next step, however, GitHub's git LFS implementation [doesn't support deleting](https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository) large files, making it easy for them to eat-up the LFS quota and explode the size of your repos. +Often, especially when working with data-heavy applications, large files can proliferate in a repository. Version controlling them is an obvious next step. However, GitHub's git LFS implementation [doesn't support deleting](https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository) large files, making it easy for them to eat-up the LFS quota and explode the size of your repos. -[DVC](https://dvc.org/) is a viable alternative, however, it requires users to learn to use one more CLI tool. +[DVC](https://dvc.org/) is a viable alternative; however, it requires users to learn to use one more CLI tool. ??? note "Using LargeFile-s directly (usually not needed)" - LargeFile doesn't require users to learn too much new. It is a nearly exact copy of the built-in `open()` function of Python with which users are certainly already familiar. + LargeFile doesn't require users to learn too much new. It is a nearly exact copy of Python's built-in `open()` function, with which users are undoubtedly already familiar. ## Simple example @@ -24,7 +24,7 @@ Oftentimes, especially when working with data-heavy applications, large files ca }) # Creates a new version and deletes the older version - # leaving the 3 most recently used intact + # leaving the three most recently used intact with LargeFileS3("test.txt", "w", keep_last_n=3) as f: for i in range(100000): f.write('test\n') @@ -35,11 +35,11 @@ Oftentimes, especially when working with data-heavy applications, large files ca print(f.readlines()[0]) ``` - 1. In this case, the latest version is already in the local cache, no download is required. + 1. The latest version is already in the local cache; no download is required. ### More details - `LargeFile` behaves like an opened file (in the background it is a temp file after all). Binary reads and writes are supported along with the [different keywords `open()` accepts](https://docs.python.org/3/library/functions.html#open){ target=_blank }. + `LargeFile` behaves like an opened file (in the background, it is a temp file after all). Binary reads and writes are supported along with the [different keywords `open()` accepts](https://docs.python.org/3/library/functions.html#open){ target=_blank }. The local cache can be configured with these properties: @@ -64,7 +64,7 @@ Oftentimes, especially when working with data-heavy applications, large files ca LargeFileS3("folder-of-my-bert-model").push('path_to_local/folder_or_file') ``` - > This way both regular files and folders can be handled. The uploaded file is called **folder-of-my-bert-model**, the local name is ignored. + > This way, both regular files and folders can be handled. The uploaded file is called **folder-of-my-bert-model**, the local name is ignored. Lastly, all version of the remote object can be deleted by calling `LargeFileS3("my-file").delete()`. It will still reside in your local cache afterwards; its deletion will happen next time your local cache has to be pruned. @@ -90,14 +90,14 @@ large-file --backend s3 --secrets secrets.ini \ --push my_first_file.json folder/my_second_file my_folder ``` -> Only the filename is used as the S3 name, the rest of the path is ignored. +> Only the filename is used as the S3 name; the rest of the path is ignored. !!! important "Using MongoDB" - The possible values for `--backend` are `s3`, `mongo`, and `local`. The latter doesn't need credentials, it only versions and stores your files in a local folder. MongoDB on the other hand requires a `mongo_connection_string` and a `mongo_database` to be specified. For storing large files, it uses the [GridFS](https://www.mongodb.com/docs/manual/core/gridfs){ target=_blank } specification. + The possible values for `--backend` are `s3`, `mongo`, and `local`. The latter doesn't need credentials. It only versions and stores your files in a local folder. MongoDB, on the other hand, requires a `mongo_connection_string` and a `mongo_database` to be specified. For storing large files, it uses the [GridFS](https://www.mongodb.com/docs/manual/core/gridfs){ target=_blank } specification. ### Download some files to the local cache -This can be useful when building a Docker image for example. This way, the files can already reside inside the container and need not be downloaded later. +This can be useful when building a Docker image, for example. This way, the files can already reside inside the container and need not be downloaded later. ```sh large-file --backend s3 --secrets ~/.aws/credentials \ diff --git a/docs/how-to-guides/use-service.md b/docs/how-to-guides/use-service.md index 4bb3446..cd8272d 100644 --- a/docs/how-to-guides/use-service.md +++ b/docs/how-to-guides/use-service.md @@ -35,7 +35,7 @@ As you can see, the original return value is wrapped in a [Trace][great_ai.Trace Likely, the main way you would like to expose your model is through an HTTP API. [@GreatAI.create][great_ai.GreatAI.create] scaffolds many REST API endpoints for your model and creates a [FastAPI](https://fastapi.tiangolo.com/){ target=_blank } app available under [GreatAI.app][great_ai.GreatAI]. This can be served using [uvicorn](https://www.uvicorn.org/){ target=_blank } or any other [ASGI server](https://asgi.readthedocs.io/en/latest/){ target=_blank }. -Since most ML code lives in [Jupyter](https://jupyter.org/){ target=_blank } notebooks, therefore, deploying a notebook containing the inference function is supported. To achieve this, `uvicorn` is wrapped by the `great-ai` command-line utility which — among others — takes care of feeding a notebook into `uvicorn`. It also supports auto-reloading. +Since most ML code lives in [Jupyter](https://jupyter.org/){ target=_blank } notebooks, therefore, deploying a notebook containing the inference function is supported. To achieve this, `uvicorn` is wrapped by the `great-ai` command-line utility, which — among others — takes care of feeding a notebook into `uvicorn`. It also supports auto-reloading. ### In development @@ -97,12 +97,11 @@ RUN pip install --no-cache-dir --requirement requirements.txt # have to download it each time a container starts RUN large-file --backend s3 --secrets s3.ini --cache my-domain-predictor -# Add you application code to the image +# Add your application code to the image COPY . . -# The default ENTRYPOINT is great-ai, specify its argument using CMD +# The default ENTRYPOINT is great-ai; specify its argument using CMD CMD ["deploy.ipynb"] - ``` ## Batch prediction diff --git a/docs/index.md b/docs/index.md index 9e63ed5..2493fbc 100644 --- a/docs/index.md +++ b/docs/index.md @@ -10,7 +10,7 @@ [![Sonar line coverage](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=coverage)](https://sonar.scoutinscience.com/dashboard?id=great-ai) [![Sonar LoC](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=ncloc)](https://sonar.scoutinscience.com/dashboard?id=great-ai) -Applying AI is becoming increasingly easier but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing [unintended biases](https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction){ target=_blank }. GreatAI helps fixing this by allowing you to ==easily transform your prototype AI code into production-ready software==. +Applying AI is becoming increasingly easier, but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing [unintended biases](https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction){ target=_blank }. GreatAI helps fix this by allowing you to ==easily transform your prototype AI code into production-ready software==. ??? quote "Case studies" "There is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature." @@ -20,11 +20,11 @@ Applying AI is becoming increasingly easier but many case studies have shown tha "Because a mature system might end up being (at most) 5% machine learning code and (at least) 95% glue code, it may be less costly to create a clean native solution rather than re-use a generic package." — [Sculley et al.](https://www.researchgate.net/profile/Todd-Phillips/publication/319769912_Hidden_Technical_Debt_in_Machine_Learning_Systems/links/61e716d68d338833e37a7fd6/Hidden-Technical-Debt-in-Machine-Learning-Systems.pdf){ target=_blank } - "For example, practice 25 is very important for “Traceability", yet relatively weakly adopted. We expect that the results from this type of analysis can, in the future, provide useful guidance for practitioners in terms of aiding them to assess their rate of adoption for each practice and to create roadmaps for improving their processes. — [Serban et al.](https://dl.acm.org/doi/abs/10.1145/3382494.3410681?casa_token=uCFz0dtDR6gAAAAA:4_8OMJ-5njwopYkB1KSGAu9JfbNq4nfa8LRE0fj84ckjfo-GgtcYQivZTGxal3M4haoA8r_xwpw){ target=_blank } + "For example, practice 25 is very important for "Traceability", yet relatively weakly adopted. We expect that the results from this type of analysis can, in the future, provide useful guidance for practitioners in terms of aiding them to assess their rate of adoption for each practice and to create roadmaps for improving their processes. — [Serban et al.](https://dl.acm.org/doi/abs/10.1145/3382494.3410681?casa_token=uCFz0dtDR6gAAAAA:4_8OMJ-5njwopYkB1KSGAu9JfbNq4nfa8LRE0fj84ckjfo-GgtcYQivZTGxal3M4haoA8r_xwpw){ target=_blank } ## Features -- [x] Save prediction traces of each prediction including arguments and model versions +- [x] Save prediction traces of each prediction, including arguments and model versions - [x] Save feedback and merge it into a ground-truth database - [x] Version and store models and data on shared infrastructure *(MongoDB GridFS, S3-compatible storage, shared volume)* - [x] Automatically scaffolded custom REST API (and OpenAPI schema) for easy integration @@ -72,7 +72,7 @@ def greeter(name: str) -> str: #(2) 2. [Typing functions](https://docs.python.org/3/library/typing.html){ target=_blank } is recommended in general, however, not required for GreatAI to work. ??? note - In practice, `greeter` could be an inference function of some AI/ML application. But it could also just wrap a black-box solution of some SaaS. Either way, it is [imperative to have continuous oversight](https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai){ target=_blank } of the services you provide and data you process especially in the context of AI/ML applications. + In practice, `greeter` could be an inference function of some AI/ML application. But it could also just wrap a black-box solution of some SaaS. Either way, it is [imperative to have continuous oversight](https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai){ target=_blank } of the services you provide and the data you process, especially in the context of AI/ML applications. ```sh title="terminal" great-ai demo.py @@ -88,7 +88,7 @@ great-ai demo.py ![scope of GreatAI](media/scope-simple.drawio.svg) -GreatAI fits between the prototype and deployment phases of your (or your organisation's) AI development lifecycle. This is highlighted with blue in the diagram. Here, several best practices can be automatically implemented aiming to achieve the following attributes: +GreatAI fits between the prototype and deployment phases of your (or your organisation's) AI development lifecycle. This is highlighted in blue in the diagram. Here, several best practices can be automatically implemented, aiming to achieve the following attributes: - **G**eneral: use any Python library without restriction - **R**obust: have error-handling and well-tested utilities out-of-the-box @@ -98,9 +98,9 @@ GreatAI fits between the prototype and deployment phases of your (or your organi ## Why GreatAI? -There are other, existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker){ target=_blank } and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core){ target=_blank } provide the most comprehensive suite of features. If you have the opportunity to use them, do that because they're great. +There are other existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker){ target=_blank } and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core){ target=_blank } provide the most comprehensive suite of features. If you have the opportunity to use them, do that because they're great. -However, research indicates that professionals rarely use them. This may be due to their inherent setup and operating complexity. ==GreatAI is designed to be as simple to use as possible.== Its clear, high-level API and sensible default configuration makes it extremely easy to start using. Despite its relative simplicity over Seldon Core, it still implements many of the [SE4ML best practices](https://se-ml.github.io){ target=_blank }, and thus, can meaningfully improve your deployment without requiring prohibitively large effort. +However, research indicates that professionals rarely use them. This may be due to their inherent setup and operational complexity. ==GreatAI is designed to be as simple to use as possible.== Its straightforward, high-level API and sensible default configuration make it extremely easy to start using. Despite its relative simplicity over Seldon Core, it still implements many of the [SE4ML best practices](https://se-ml.github.io){ target=_blank }, and thus, can meaningfully improve your deployment without requiring prohibitively great effort.
diff --git a/docs/tutorial/index.md b/docs/tutorial/index.md index ef7a386..b9055d6 100644 --- a/docs/tutorial/index.md +++ b/docs/tutorial/index.md @@ -1,6 +1,6 @@ # Train and deploy a SOTA model -Let's see `great-ai` in action by going over the life-cycle of a simple service. +Let's see `great-ai` in action by going over the lifecycle of a simple service. ## Objectives @@ -10,12 +10,12 @@ Let's see `great-ai` in action by going over the life-cycle of a simple service. ## Overview -You are going to train a field of study (domain) classifier for scientific sentences. The exact task was proposed by the [SciBERT paper](https://arxiv.org/abs/1903.10676){ target=_blank } in which SciBERT [achieved an F1-score of 0.6571](https://paperswithcode.com/sota/sentence-classification-on-paper-field){ target=_blank }. We are going to outperform it using a trivial text classification model: a [Linear SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html){ target=_blank }. +You will train a field of study (domain) classifier for scientific sentences. The exact task was proposed by the [SciBERT paper](https://arxiv.org/abs/1903.10676){ target=_blank } in which SciBERT [achieved an F1-score of 0.6571](https://paperswithcode.com/sota/sentence-classification-on-paper-field){ target=_blank }. We are going to outperform it using a trivial text classification model: a [Linear SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html){ target=_blank }. We use the same synthetic dataset derived from the [Microsoft Academic Graph](https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/){ target=_blank }. The dataset is [available here](https://github.com/allenai/scibert/tree/master/data/text_classification/mag){ target=_blank }. !!! success - You are ready to start the tutorial. Feel free to come back to the [summary](#summary) section once you're finished. + You are ready to start the tutorial. Feel free to return to the [summary](#summary) section once you're finished.
[:fontawesome-solid-chart-simple: Train it](train.ipynb){ .md-button .md-button--primary } @@ -32,7 +32,7 @@ We load and preprocess the dataset while relying on [great_ai.utilities.clean][g After training and evaluating a model, it is exported using [great_ai.save_model][]. ??? tip "Remote storage" - To store your model remotely, you need to set your credentials before calling `save_model`. + To store your model remotely, you must set your credentials before calling `save_model`. For example, to use [AWS S3](https://aws.amazon.com/s3){ target=_blank }: ```python @@ -68,7 +68,7 @@ def predict_domain(sentence, model): ``` 1. [@use_model][great_ai.use_model] loads and injects your model into the `predict_domain` function's `model` argument. - You can freely reference it knowing that the function is always provided with it. + You can freely reference it, knowing that the function is always provided with it. Finally, we test the model's inference function through the GreatAI dashboard. [The only thing left is to deploy the hardened service properly.](/how-to-guides/use-service) From 386b1affeb365428197b8437832bbea40b57c5a3 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 21 Aug 2022 20:35:38 +0200 Subject: [PATCH 11/31] Proofread and improve thesis --- docs/thesis/chapters/0_abstract.tex | 10 +- docs/thesis/chapters/1_introduction.tex | 10 +- docs/thesis/chapters/2_background.tex | 36 ++-- docs/thesis/chapters/3_methods.tex | 8 +- docs/thesis/chapters/4_design.tex | 28 +-- docs/thesis/chapters/5_cases/main.tex | 2 +- docs/thesis/chapters/5_cases/naive-bayes.tex | 53 +++--- docs/thesis/chapters/5_cases/scibert.tex | 22 +-- docs/thesis/chapters/6_results.tex | 52 +++--- docs/thesis/chapters/7_conclusion.tex | 6 +- docs/thesis/comments.txt | 176 ------------------- docs/thesis/main.tex | 10 +- 12 files changed, 123 insertions(+), 290 deletions(-) delete mode 100644 docs/thesis/comments.txt diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index 7e05a31..1a5f01f 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -1,18 +1,18 @@ \begin{abstract} \absdiv{Background} -Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of frameworks that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI services is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. +Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of libraries that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI applications is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. \absdiv{Objective} -This thesis investigates the causes of and a possible resolution to the asymmetry between the adoption of accessible AI-libraries and reusable frameworks for AI deployments. The potential solution is validated through designing a library, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. +This thesis investigates the causes of and a possible resolution to the asymmetry between the adoption of libraries for applying and deploying AI. The potential solution is validated through designing a software framework, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. \absdiv{Method} -The utility of \textit{GreatAI}'s design is validated by applying the principles of design science methodology through iteratively shaping it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with ten practitioners for assessing its generalisability. +The utility of \textit{GreatAI}'s design is validated by applying the principles of design science methodology through iteratively shaping it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with ten practitioners to assess its generalisability. \absdiv{Results} -\textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies and the proposed library was rated overwhelmingly positively in both dimensions. +\textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated overwhelmingly positively in both dimensions. \absdiv{Conclusions} -Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. Additionally, the created software framework was deemed effective and a candidate for showcasing the utility of following best practices. +Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. Additionally, the created software was deemed effective by experts and a candidate for raising awareness about the utility of following best practices. \end{abstract} diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index 494e822..4824df2 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -2,19 +2,19 @@ Artificial intelligence techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. -However, in order to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as vital as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. +However, to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as essential as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments does not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them correctly is as intricate and nuanced as ever. -This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks for automated mature deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. +This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks to achieve some level of automation and maturity in their deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. -Therefore, a software framework --- called \textit{GreatAI}\footnote{\href{https://github.com/schmelczer/great-ai}{github.com/schmelczer/great-ai}} --- is designed and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing an accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. +Therefore, a software framework --- called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} --- is designed and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. -The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the text mining pipeline for a commercial product in collaboration with ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. +The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the text mining pipeline for a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. \section{Research questions} -I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs which are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. +I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. \begin{rqlist} \item To what extent does the complexity of deploying AI hinders industrial applications? diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index b2b37c1..9ebeba5 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -1,12 +1,12 @@ \chapter{Background} \label{chapter:background} -Despite the long-standing history of artificial intelligence, industry awareness and adoption have only recently started to catch up meaningfully \cite{wirtz2019artificial}. At the same time, more regulations and guidelines are being published, for instance, the Ethics guidelines for trustworthy AI by the European Commission's High-Level Expert Group on AI\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}. This contains seven key requirements, including human agency and oversight, technical robustness, safety, transparency, and accountability. When it comes to accountability, clear advances are being made \cite{raji2020closing}; however, in the case of the other requirements, the situation is more nuanced. Thankfully, the field of software engineering for machine learning (SE4ML)\footnote{Both in practice and literature, this is sometimes also referred to as \textit{AI Engineering} and has a large intersection with --- or arguably is the same as --- \textit{MLOps}.} has been working towards finding ways to assist data scientists and software engineers in ensuring these (and more) expectations are met by their software. +Despite the long-standing history of artificial intelligence, industry awareness and adoption have only recently started to catch up meaningfully \cite{wirtz2019artificial}. At the same time, more regulations and guidelines are being published, for instance, the Ethics guidelines for trustworthy AI by the European Commission's High-Level Expert Group on AI\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}. This contains seven key requirements, including human agency and oversight, technical robustness, safety, transparency, and accountability. When it comes to accountability, clear advances are being made \cite{raji2020closing}; however, in the case of the other requirements, the situation is more nuanced. Thankfully, the field of software engineering for machine learning (SE4ML)\footnote{Both in practice and literature, this is sometimes also referred to as \textit{AI Engineering} and has a large intersection with, or arguably is the same as, \textit{MLOps}.} has been working towards finding ways to assist data scientists and software engineers in ensuring these (and more) expectations are met by their software. -In the following, the context of the problem is presented from three perspectives. Starting with its possible cause: the democratisation of state-of-the-art AI algorithms and models. Subsequently, the challenges encountered when applying AI in practice are outlined by case studies and survey data. Lastly, the existing approaches and solutions are introduced. +In the following, the context of the problem is presented from three perspectives. Starting with its possible cause: the democratisation of state-of-the-art AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI. However, most modern AI applications are also ML applications, hence, conflating the two terms may be slightly imprecise but usually not wrong.} architectures and models. Subsequently, the challenges encountered when applying AI in practice are outlined by case studies and survey data. Lastly, the existing approaches and solutions are introduced. \section{Accessible AI} \label{section:accessible-ai} -Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easier. In recent years, there has been a proliferation of highly accessible AI libraries. For example, let us consider the domain of natural language processing (NLP). There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Huggingface's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Huggingface enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. +Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries. For example, let us consider the domain of natural language processing (NLP). There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. It is not just these two packages, the list of readily available tools is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. @@ -14,39 +14,43 @@ It is not just these two packages, the list of readily available tools is vast: In contrast to this trend, the software landscape around packaging, deploying, and maintaining machine learning (ML) --- and in general --- data-heavy applications paints a different picture. Fortunately, the related issues and their ramifications have already been thoroughly investigated. -When looking at AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI. However, most modern AI applications are also ML applications, hence, conflating the two terms may be slightly imprecise but usually not wrong.} code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. +When looking at AI/ML code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. -Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING, which is a well-known fintech company undergoing a digital transformation to embrace AI. They found that the existing tools for ML do not meet the particularities of the field. For instance, a Feature Engineer working in the Data \& Analytics department explained that regular spreadsheets are preferred over existing solutions like MLFlow for keeping track of experiment results. The reason behind this is simplicity. Additionally, multiple other interviewees described the need to self-develop (or highly-customise) dashboards for monitoring deployed models, resulting in many non-reusable solutions across the company for the same problem. The authors conclude that there is a research gap between the ever-improving SOTA techniques and the challenges of developing real-world ML systems. In short, additional tool support is needed for facilitating the ML lifecycle. +Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING, a well-known fintech company undergoing a digital transformation to embrace AI. They found that the existing tools for ML do not meet the particularities of the field. For instance, a Feature Engineer working in the Data \& Analytics department explained that regular spreadsheets are preferred over existing solutions like MLFlow for keeping track of experiment results. The reason behind this is simplicity. Additionally, multiple other interviewees described the need to self-develop (or highly-customise) dashboards for monitoring deployed models, resulting in many non-reusable solutions across the company for the same problem. The authors conclude that there is a research gap between the ever-improving SOTA techniques and the challenges of developing real-world ML systems. In short, additional tool support is needed for facilitating the ML lifecycle. In a case study at Microsoft, Amershi et al. \cite{amershi2019software} interviewed 14 people and surveyed another 551 AI and ML professionals from the company. One of the main concerns surfaced was relating to automation which is a vital cross-cutting concern, especially for testing. At the same time, a human-in-the-loop is still favoured. The survey data pointed out the difficulty posed by integrating AI, especially in the case of less experienced respondents. This was elaborated on by describing the preferences of software engineers as striving for elegant, abstract, modular, and simple systems; in contrast, data tends to be of large volume, context-specific and heterogeneous. Reconciling these inherent differences requires significant effort. Nevertheless, Microsoft manages to overcome this with a highly sophisticated internal infrastructure. -Using AI is not unique to large corporations; in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee explained: some steps are left out from time to time because they are forgotten about. +Using AI is not unique to large corporations; in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee explained: some steps are left out from time to time because they are forgotten. Similarly, Thiée \cite{thiee2021systematic} described the slow but ever-growing rate of ML adoption by small and medium-sized enterprises (SMEs). With the caveat that many more of these companies would wish to adopt data-driven approaches but are facing new challenges stemming from the domain's complexity. -Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance of each best practice. For example, they determined the most important best practice to be \textit{logging production prediction traces}; however, the adoption was measured to be below 40\%. In more than three-quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. Similarly, Serban et al. in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI, mainly through data governance. They strove to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern: most best practices have less than 50\% adoption. +Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance for each. For example, they determined the most important best practice to be \textit{logging production prediction traces}; however, the adoption was measured to be below 40\%. In more than three-quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. -John et al. \cite{john2020architecting} compared and contrasted recent scientific and grey literature of AI deployments from which they extracted concrete challenges and practices. They also observed that most companies are placing many more models into production compared with previous years. Additionally, they pointed out that many deployment techniques are absent in contemporary literature, which is speculated to be caused by the immaturity of deployment processes employed in academia. Because for instance, most models in scientific literature experience only initial deployment and are not constantly replaced or refreshed as their performance degrades over time. +Furthermore, Serban et al., in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI, mainly through data governance. They strove to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern: most best practices have less than 50\% adoption. + +John et al. \cite{john2020architecting} compared and contrasted recent scientific and grey literature on AI deployments from which they extracted concrete challenges and practices. They also observed that most companies are placing many more models into production than in previous years. Additionally, they pointed out that numerous deployment techniques are absent from contemporary literature, which is speculated to be caused by the immaturity of deployment processes employed in academia. Because for instance, most models in scientific literature experience only initial deployment and are not constantly replaced or refreshed as their performance degrades over time. Finally, in a follow-up study to \cite{john2020architecting}, Bosch et al. \cite{bosch2021engineering} organised and structured the problem space of AI engineering research based on their 16 primary case studies. The authors noted the increasing and broad adoption of ML in the industry while also emphasising that the \textit{transition from prototype to production-quality deployment} proves to be challenging for many companies. Solid software engineering expertise is required to create additional facilities for the application, such as data pipelines, monitoring, and logging. They defined \textit{deployment \& compliance} to be one of the four main categories of problems and described it as highly underestimated and the source of ample struggle. \section{Existing solutions} \label{section:existing} -From the previous section, it is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though the authors note that even though this solution has shortcomings in the form of rigidity (number of supported libraries and model types), it still allows the easy extension of the system. +From the previous section, it is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though the authors note that this solution still has shortcomings in the form of rigidity (number of supported libraries and model types), it also allows for the easy extension of the system. -Given the nature of the problems faced and the amount of available resources, it is not surprising that both of these high-tech Fortune 500 companies needed to, and did overcome the problems presented by deploying AI. We can learn from their approaches; nonetheless, using them may be infeasible for individuals and SMEs. Thus, the issues remain for the majority of practitioners. Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.}, and platforms is thriving. Additionally, there is a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. +Given the nature of the concerns and the amount of available resources, it is not surprising that both of these high-tech Fortune 500 companies needed to and did overcome the problems presented by deploying AI. We can learn from their approaches; nonetheless, using them may be infeasible for individuals and SMEs. Thus, the issues remain for the majority of practitioners. Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.}, and platforms is thriving. Additionally, there are a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe. The challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. -SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. +SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy, and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. -When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for the SE4ML best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models\footnote{The Open Neural Network Exchange (\href{https://onnx.ai/}{onnx.ai}) format could be an option for overcoming these incompatibilities. However, more universal support is needed for seamless integration.} or algorithms of other frameworks and technologies. +When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for the SE4ML best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models\footnote{The Open Neural Network Exchange (\href{https://onnx.ai/}{onnx.ai}) format could be an option for overcoming these incompatibilities. However, wider support is needed for seamless integration.} or algorithms of other frameworks and technologies. -Open-source platforms also exist, such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow emphasises the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features, including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes and relies on Helm, Ambassador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components; then, when it comes to model deployment, a Kubernetes configuration file must be created to use Seldon's Custom Resource Definition. These are more minor obstacles if the project is already built on top of K8s; however, even then, software engineers with solid cloud and DevOps backgrounds are actively required to use Seldon Core. +Open-source platforms also exist, such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow emphasises the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features, including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes and relies on Helm, Ambassador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components; then, when it comes to model deployment, a Kubernetes configuration file must be created to use Seldon's Custom Resource Definition. These are minor obstacles if the project is already built on top of K8s; however, even then, software engineers with solid cloud and DevOps backgrounds are actively required to use Seldon Core. -Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions, including those for embedded devices. They note the inefficiencies of these that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments, which can be used out-of-the-box but also lets users easily replace and extend its pipeline with steps to fit their changing needs and advancements in the field. At the same time, Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge computing. They also note that: \textit{"...there is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature"}. +Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions, including those for embedded devices. They note the inefficiencies of these that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments, which can be used out-of-the-box but also lets users easily replace and extend its pipeline with steps to fit their changing needs and advancements in the field. -In summary, the problems expressed in Section \ref{section:industry} can be understood when looking at the available solutions. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. +At the same time, Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge computing. They also note that: \textit{``...there is a need to consider and adapt well-established software engineering practices which have been ignored or had a very narrow focus in ML literature''}. + +In summary, the issues expressed in Section \ref{section:industry} can be understood when looking at the available solutions. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. \begin{table} \centering @@ -83,4 +87,4 @@ No DevOps dependencies\textsuperscript{4}& & & The surveys and case studies have shown the industry's continuous struggle to evolve prototypes into robust and responsible production-ready deployments. Simultaneously, platforms aiming to help overcome this challenge already exist but lack widespread adoption. The frequently recurring explanations for not adopting existing solutions surfaced in Section \ref{section:industry} revolve around their complexity and rigidity. These complaints are validated when looking at the available frameworks in Section \ref{section:existing}. While using AI has become more accessible than ever, deploying remains challenging owing to the lack of any \textit{easy-to-adopt framework for robust end-to-end AI deployments}. -The coexistence of multiple major obstacles, along with their promised solutions and the lack of their widespread adoption, leads us to believe that current frameworks are inadequate for many contexts. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, HuggingFace, and similar libraries for the domain of ML remains unmatched in the field of AI Engineering. +The coexistence of multiple major obstacles, along with their promised solutions and the lack of their widespread adoption, leads us to believe that current frameworks are inadequate for many contexts. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, Hugging Face, and similar libraries for the domain of AI/ML remains unmatched in the field of AI Engineering and MLOps. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index 3418016..31e0ef5 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -12,19 +12,19 @@ by finding a less complex framework design which is easier to adopt in order to decrease the negative externality of misused AI.} -The problem context is the difficulty in responsibly transitioning (while following best practices) from prototype industrial AI applications to production-ready deployments. With the possible treatment being libraries with high-level APIs and a set of default settings. It is important to note that \textit{GreatAI} is merely a proof-of-concept, and its aim is to serve as a proxy for the design decisions behind it. Through this, the design can be indirectly evaluated. Hopefully, a by-product will be a library that can be effectively applied to this problem context. +The problem context is the difficulty of responsibly transitioning (while following best practices) from prototype industrial AI applications to production-ready deployments. With the possible treatment being libraries with high-level APIs and a set of default settings. It is important to note that \textit{GreatAI} is merely a proof-of-concept, and its aim is to serve as a proxy for the design decisions behind it. Through this, the design can be indirectly evaluated. Hopefully, a by-product will be a library that can be effectively applied to this problem context. The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform which aims to find tech-transfer opportunities in academic publications. The primary input of the system as a whole is PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. -Overall, this problem context carries the properties of typical industry use-cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on in their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. +Overall, this problem context carries the properties of typical industry use cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on within their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. -Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case is the research and development of a smaller and a more complex AI component using the work-in-progress framework. The treatment is finding a simple, less cognitively-straining-to-use design which still leads to high-quality deployments as defined in Section \ref{section:requirements}. +Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case is the research and development of a smaller and a more complex AI component using the work-in-progress framework. The treatment is finding a simple, less cognitively-straining-to-use design that still leads to high-quality deployments, the means of which will be defined in Section \ref{section:requirements}. \section{Applicability \& generalisability} \label{section:interview-setup} To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. Since my colleagues and I are likely to have a bias for (or against) the proposed design, the first step of checking its applicability in other practical contexts is to ask the opinion of non-affiliated practitioners. -First, before their interview, paricipants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. +First, before their interview, participants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. Notes are taken throughout the interviews and subsequently extended using reflective journaling \cite{halcomb2006verbatim} combined with thematic coding. After which, the insights from the interviewed professionals are distilled using the techniques of thematic analysis \cite{fereday2006demonstrating} following the methodologies of \cite{cruz2019catalog} and \cite{haakman2021ai}. These insights can then be combined with the numerical results to explain and elaborate on them. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 5f94bc5..dc52831 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -1,12 +1,12 @@ \chapter{Designing the framework} \label{chapter:design} -Providing users with a high level of abstraction is not unheard of in the domain of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we have discussed in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment-related concepts. +Providing users with a high level of abstraction is not unheard of in the context of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we have discussed in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment-related concepts. \section{Scope} \label{section:scope} As highlighted by several case studies in Chapter \ref{chapter:background}, the transition from prototypes to production-ready systems is often named as the source of unexpected struggle. Maybe it is not a coincidence that a significant portion of the SE4ML best practices should be implemented in this phase. Unfortunately, it is easy to gloss over them while tackling the underestimated difficulties of this \textit{transition}. Therefore, the aim of \textit{GreatAI} is to ease this step of the lifecycle. Consequently, its scope is limited to the \textit{transition} step. -There have been attempts that at least partially address this issue; however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. The scope has to be well-defined and limited to provide the best chance of providing an easy-to-adopt solution. To understand the API of a library, users first need to understand its aim and surface, and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. +There have been attempts that at least partially address this issue; however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. The scope has to be well-defined and limited to provide the best chance of providing an easy-to-adopt solution. To understand the API of a library, users first need to understand its aim and surface and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. \begin{figure} \centering @@ -16,7 +16,7 @@ There have been attempts that at least partially address this issue; however, as \label{fig:scope} \end{figure} -It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a \textit{GREAT} service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or by using the organisation's existing software deployment setup. +It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a \textit{GREAT} service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or the organisation's existing software deployment setup. \section{Requirements} \label{section:requirements} @@ -24,23 +24,23 @@ The best practices (which are referenced throughout the thesis) with which the d \paragraph{General} Albeit not explicitly in the list of best practices, compatibility is vital in encouraging adoption. Large projects frequently end up depending on numerous packages, each of which may impose some restrictions on the code: since these all have to be satisfied simultaneously, this can result in severe constraints. -The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least 4 popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. +The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least four popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python, so implementing the library in it should not significantly limit its applicability. -\paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as feasible. \textit{GreatAI} should support its clients in this. +\paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as practicable. \textit{GreatAI} should support its clients in this. \paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the system's real-world performance, which should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real life and can become outdated if they are not revised continuously. A well-packaged deployment should make it trivial to integrate new training data. \paragraph{Automated} The available time of data scientists and software engineers is limited and expensive. For this reason, humans should only be involved when their involvement is necessary. Steps in the development process that can be automated without negative consequences must be automated in order to achieve efficient development processes and let the experts focus on the issues that require their attention the most. -\paragraph{Trustworthy} As detailed by the \textit{Ethics guidelines for trustworthy AI}\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}, human oversight, transparency, and accountability are some of the key requirements for trustworthy AI applications. For increasing public acceptance and trust while minimising negative societal impact, trustworthiness is essential. +\paragraph{Trustworthy} As detailed by the \href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{\textit{Ethics guidelines for trustworthy AI}}, human oversight, transparency, and accountability are some of the key requirements for trustworthy AI applications. For increasing public acceptance and trust while minimising negative societal impact, trustworthiness is essential. -These requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. +The requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. \section{Design principles} -Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use-cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. +Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. @@ -50,13 +50,13 @@ Nonetheless, simple APIs come at a high technical cost. The library has to imple \subsection{Default configuration} -\href{https://grugbrain.dev/#grug-on-apis}{Existing frameworks oftentimes suffer from the entanglement of numerous levels of abstractions.} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. +\href{https://grugbrain.dev/#grug-on-apis}{Existing frameworks frequently suffer from the entanglement of numerous levels of abstractions.} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. For example, tracing the evaluations and the model versions used in a distributed fashion is very much expected of a trustworthy system. Hence, turning this feature on by default but allowing opting-out from it can result in less scaffolding required from the library's users. It also decreases their up-front cognitive load, which by definition flattens the learning-curve \cite{hermans2021programmer}. Similar features can be imagined for providing a service API for the algorithms, giving feedback, marking outliers, and more. Being \textit{automated} is listed as a requirement, but it is imperative to only automate for simplifying and not for hiding decisions. More precisely, guessing must not be a part of automation. For instance --- an otherwise handy WebGL library --- TWGL.js, has a feature for automatically guessing the type of vectors based on their names. Suppose it matches the \texttt{/colou?r/i} pattern. In that case, it is treated as a vector with three components\footnote{\href{https://github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}{\tiny github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}}. It is easy to imagine that this can help in certain scenarios. Still, it does so at the cost of immense confusion when correctly renaming a variable breaks the application. In CDCB, this equates to scoring high on the dimension of \textit{Hidden dependencies} and low on \textit{Visibility}. -Learning from this, any guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to considerably more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. +Learning from this, any guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to vastly more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skipping them. @@ -64,19 +64,19 @@ This way, the library attempts to notify its user about the existence of these d \subsection{Documentation} -Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentation comes in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. Descriptive error messages can also be viewed as documentation. +Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentations come in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. Descriptive error messages can also be viewed as documentation. The library must have quality documentation for all categories. Accordingly, for structuring it, the \textit{Diátaxis} philosophy is preferred \cite{Procida_Diataxis_documentation_framework} which prescribes dividing documentation into 4 parts along 2 axes: practical-theoretical and passive-active consumption. The four quadrants derived from this are tutorials, how-to guides, references, and explanations. -Once again, we might notice two competing interests: the level of detail and the length of the documentation. For example, FastAPI\footnote{\href{https://fastapi.tiangolo.com/async/\#concurrent-burgers}{fastapi.tiangolo.com}}, a popular Python web framework, has extensive descriptions and explanations on all topics related to Python's import system, the HTTP protocol, concurrency, deployment, etc. The actual framework's documentation is sprinkled over these overly broad topics. This is undoubtedly helpful for beginners to acquire knowledge from a single place. Nevertheless, this high level of accessibility actually hinders the process of finding the relevant sections (in CDCB, this shows a trade-off between the support of \textit{Searching} and \textit{Comprehension} tasks). Diátaxis' take is that linking to external resources about the library's domain is welcome, but the documentation must have a single responsibility: describing the library itself. +Once again, we might notice two competing interests: the level of detail and the length of the documentation. For example, FastAPI\footnote{\href{https://fastapi.tiangolo.com/async/\#concurrent-burgers}{fastapi.tiangolo.com}}, a popular Python web framework, has extensive descriptions and explanations on all topics related to Python's import system, the HTTP protocol, concurrency, deployment, and more. The actual framework's documentation is sprinkled over these overly broad topics. This is undoubtedly helpful for beginners to acquire knowledge from a single place. Yet, this high level of accessibility actually hinders the process of finding the relevant sections; in CDCB, this shows a trade-off between the support of \textit{Searching} and \textit{Comprehension} tasks. Diátaxis' take is that linking to external resources about the library's domain is welcome, but the documentation must have a single responsibility: describing the library itself. A large portion of software documentations is automatically generated from source code, and this has the advantage of always keeping it in sync with code changes. However, it might also signal that the API is too large because it is inconvenient for the developers to document it by hand. Striking the right balance between handcrafted and automatically extracted documentation may be a vital component of good documentation. -When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. For example, another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but I argue that the DX could be improved by displaying where to start more prominently. +When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. Take the example of another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but I argue that the DX could be improved by displaying where to start more prominently. \subsection{Developer experience} -Subjectively, a key component of good DX is \textit{Progressive evaluation} through which development can become a highly iterative, experimental process. This is well understood by popular data science tools, such as Jupyter Notebooks. \textit{GreatAI} also has to support some level of this, for example, in the form of auto-reload on code changes. Further key ingredients for good DX are consistency and discoverability. To give one more example, the MySQL connector's Python implementation\footnote{\href{https://dev.mysql.com/doc/connector-python/en/}{dev.mysql.com/doc/connector-python/en/}} has a cursor object which exposes a \texttt{fetchone} method. Even though this naming scheme is not conventional in Python since it does not follow \href{https://peps.python.org/pep-0008/}{PEP 8}, at least the API is intuitive: changing \texttt{sql\_cursor.fetchone()} to \texttt{sql\_cursor.fetchall()} returns all items instead of just one. Using good and consistent names is the key to good DX. +Subjectively, a key component of good DX is \textit{Progressive evaluation} through which development can become a highly iterative, experimental process. This is well-understood by popular data science tools, such as Jupyter Notebooks. \textit{GreatAI} also has to support some level of this, for example, in the form of auto-reload on code changes. Further key ingredients for good DX are consistency and discoverability. To give one more example, the MySQL connector's Python implementation\footnote{\href{https://dev.mysql.com/doc/connector-python/en/}{dev.mysql.com/doc/connector-python/en}} has a cursor object which exposes a \texttt{fetchone} method. Even though this naming scheme is not conventional in Python since it does not follow \href{https://peps.python.org/pep-0008/}{PEP 8}, at least the API is intuitive: changing \texttt{sql\_cursor.fetchone()} to \texttt{sql\_cursor.fetchall()} returns all items instead of just one. Using good and consistent names is the key to good DX. At the same time, Python codebases are rarely strictly object-oriented (OO). They are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable; therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer}, which amounts to quicker comprehension. diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index ae635ef..c56287d 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -1,6 +1,6 @@ \chapter{The ScoutinScience platform} \label{chapter:case} -The core product of \href{https://scoutinscience.com/}{ScoutinScience B.V.} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other features are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. +The core product of \href{https://scoutinscience.com/}{ScoutinScience B.V.} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index b4ce7d7..399a624 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -1,12 +1,12 @@ \section{Domain classification with Naïve Bayes} \label{section:simple-case} -Using different models for slight variations of the same problem is commonplace in the industry. For instance, UberEats has a vast, hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. The reason for this can be (among others) the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential). In contrast, in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but, more importantly, their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction model for academic papers. +Using different models for slight variations of the same problem is commonplace in the industry. For instance, UberEats has a vast hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. One of the reasons for this can be the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential). In contrast, in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but, more importantly, their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction classifier for academic papers. \subsection{Background} -Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for precisely this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts, as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches. However, this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground-truth dataset. +Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for precisely this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts, as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches. However, this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground truth dataset. -Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and finetuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version (\href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}) of this dataset.}. To my knowledge, no other published work exists on this sentence classification task. This may be explained by the task's lack of practical relevance and contrived nature (uniform label distribution), as we will see in the following subsection. +Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and fine-tuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version of this dataset, available at: \\ \href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}}. To my knowledge, no other published work exists on this sentence classification task. This may be explained by the task's lack of practical relevance and contrived nature (uniform label distribution), as we will see in the following subsection. \begin{displayquote} \textbf{Design note} After getting familiar with the context, it is time to focus on experimenting and developing our domain prediction service. At the same time, the difficulties encountered should be noted and integrated into \textit{GreatAI}'s design. @@ -14,7 +14,7 @@ Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin20 \subsection{Data} -Two datasets will be considered for the experiments. SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared with MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use-case. +Two datasets are considered for the experiments: SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared to MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use case. SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences in its train and test splits, respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. @@ -26,11 +26,11 @@ SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences \label{fig:mag-distribtion} \end{figure} -SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data will be randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. +SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data are randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. \begin{figure} \centering - \includegraphics[width=0.8\linewidth]{figures/ss-distribution.png} + \includegraphics[width=0.85\linewidth]{figures/ss-distribution.png} \captionsetup{width=.9\linewidth} \caption{Label distribution of the Semantic Scholar dataset \cite{Lo2020S2ORCTS}. Each publication may be assigned at most three domains.} \label{fig:ss-distribution} @@ -43,12 +43,12 @@ SSC is much larger: it contains over 80 million abstracts. Having more data cert MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{beltagy2019scibert}. However, since SSC contains heaps of metadata, the relevant parts have to be extracted and preprocessed. In this case, these are the concatenation of the abstract's text and the paper's title along with the paper's domains (there can be multiple domains for a single paper: it is a multi-label classification task). Lastly, the non-English entries are discarded because we only expect to process papers in English. \begin{displayquote} -\textbf{How should we preprocess the data?} These simple processing steps (filter, map, project) are almost always present in the data science lifecycle. For example, cleaning the input text from various HTML, OCR, PDF, or \LaTeX \hskip 0.12cm extraction artifacts is almost always necessary for text analysis. This is captured in the \href{https://se-ml.github.io/practices}{AI best practices collection} under the following category: \textit{Write Reusable Scripts for Data Cleaning and Merging}. Also, the best practice of \textit{Test all Feature Extraction Code} is somewhat applicable: the applied processing steps must not introduce unwanted artifacts. +\textbf{How should we preprocess the data?} These simple processing steps (filter, map, project) are almost always present in the data science lifecycle. For example, cleaning the input text from various HTML, OCR, PDF, or \LaTeX \hskip 0.12cm extraction artifacts is normally necessary for text analysis. This is captured in the \href{https://se-ml.github.io/practices}{AI best practices collection} under the following category: \textit{Write Reusable Scripts for Data Cleaning and Merging}. Also, the best practice of \textit{Test all Feature Extraction Code} is somewhat applicable: the applied processing steps must not introduce unwanted artifacts. \end{displayquote} \subsection{Methods} -Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. +Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with the prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. @@ -57,7 +57,7 @@ Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than five documents or more than 5\% of the documents. \begin{displayquote} -\textbf{What could be automated here?} As discussed in Section \ref{section:accessible-ai}, libraries exposing algorithms and even SOTA models can already be considered mature and accessible. In this case, only scikit-learn was utilised, but subjectively, most popular libraries have a similarly easy-to-use API. Therefore, I see no urgent need for further action regarding the \textit{experimentation} step of the lifecycle in connection with the AI best practices. +\textbf{What could be automated here?} As discussed in Section \ref{section:accessible-ai}, libraries exposing algorithms and even SOTA models can already be considered mature and accessible. In this case, only scikit-learn was utilised, but subjectively, most popular libraries have a similarly easy-to-use API. Therefore, there seems to be no urgent need for further action regarding the \textit{experimentation} step of the lifecycle in connection with the AI best practices. \end{displayquote} \subsection{Results \& Discussion} @@ -78,13 +78,13 @@ The sentences are tokenised into words and vectorised with TF-IDF (with logarith \label{fig:ss-confusion} \end{figure} -When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1 score. This is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems that MNB clearly outperforms SciBERT for this particular use case: it is not only more accurate, but its model is magnitudes smaller, while it is also considerably faster to train (or finetune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper limit on the input length. Thus, this experiment validates choosing MNB for the task over SciBERT. +When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1 score, which is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems that MNB clearly outperforms SciBERT for this particular use case: it is not only more accurate, but its model is magnitudes smaller. At the same time, it is also considerably faster to train (or fine-tune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper limit on the input length. Thus, this experiment validates choosing MNB for the task over SciBERT. It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a straightforward task like this. Apart from phrases, the relations between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}; hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. -Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1 score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. +Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1-score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. -The lower F1 score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. +The lower F1-score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. \begin{displayquote} This is the usual point where papers conclude: a proof-of-concept/prototype has been built, and its performance demonstrated, measured --- and usually --- explained. Nonetheless, in an industrial setting, our problem is far from being solved: it has yet to be deployed. @@ -92,7 +92,7 @@ This is the usual point where papers conclude: a proof-of-concept/prototype has \subsection{Deployment} -First, an inference function needs to be written that can take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, explaining the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. +First, an inference function needs to be written to take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, explaining the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. \begin{displayquote} \textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though allowing it to be easily (or automatically) parallelised would improve its consumers' DX. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface or, more commonly, a web API. Developers usually refer to these as REST APIs, and sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service to make it available to other internal/external consumers. @@ -101,20 +101,20 @@ First, an inference function needs to be written that can take input on the fly According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is, inarguably, a deployment. However, it likely follows very few of the best practices, which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. \begin{displayquote} -\textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting the traces, graceful error-handling, taking feedback on the results (if possible in the use-case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. +\textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting the traces, graceful error-handling, taking feedback on the results (if possible in the use case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. \end{displayquote} \section{Bridging the gap with GreatAI} -First, let us revisit the library's scope for clarification. As concluded in Section \ref{section:scope}, \textit{GreatAI} should ease the \textit{transition} step between prototypes and production-ready deployments. However, this leaves open the question of what constitutes this step. There are cross-cutting concerns; for example, feature extraction is implemented and used in the training phase, but it is also deployed alongside the model. The robustness criterion has to be met by this procedure even though its implementation is only in focus in the earlier stages of the project. Since having an untested function deployed into production can have severe repercussions, I conclude, assuring its correctness lies within the scope of \textit{GreatAI}. +Let us first revisit the library's scope for clarification. As concluded in Section \ref{section:scope}, \textit{GreatAI} should ease the \textit{transition} step between prototypes and production-ready deployments. However, this leaves open the question of what constitutes this step. There are cross-cutting concerns; for example, feature extraction is implemented and used in the training phase, but it is also deployed alongside the model. The robustness criterion has to be met by this procedure even though its implementation is only in focus in the earlier stages of the project. Since having an untested function deployed into production can have severe repercussions, we can conclude that assuring its correctness lies within the scope of \textit{GreatAI}. Henceforth, cross-cutting concerns should be covered. This section briefly explores how the problems raised can be solved using \textit{GreatAI} and the API it provides to best fit the needs of its users. We first focus on the aspects of data, then we discuss the utility of helper functions, and lastly, the automated wrapping of services. \subsection{Handling data} \label{subsection:large-file} -The obstacles coming from the intertwined nature of different models are widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use-case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. +The obstacles coming from the intertwined nature of different models are widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. -We have to address two kinds of data storage needs: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using the Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. +We must address two data storage needs: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. @@ -139,8 +139,6 @@ In line with the findings of John et al. \cite{john2020architecting} on the SOTA Based on personal empirical evidence, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. -The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. - \begin{listing}[!ht] \begin{minted}[ frame=lines, @@ -155,13 +153,12 @@ def greeter(name: str) -> str: return f"Hello {name}!" \end{minted} \captionsetup{width=.9\linewidth} -\caption{Simplest example using \textit{GreatAI} for wrapping a function. In practice, \texttt{greeter} probably would be the inference function of an ML model.} +\caption{Simplest example using \textit{GreatAI} for wrapping a function. In practice, \texttt{greeter} could be the inference function of an ML model.} \label{listing:hello-world} \end{listing} -Coincidentally, deployment best practices can be easily implemented in this wrapper layer. In the first iteration, these are input validation, persisting traces, online monitoring, and generating documentation. Input validation may be used to \textit{Check that Input Data is Complete, Balanced and Well Distributed}. Traces are essential for both \textit{Log Production Predictions with the Model's Version and Input Data} and \textit{Provide Audit Trails}. However, traces can also indirectly help \textbf{Robustness} because even production systems cannot be expected to be perfect. Saving and letting the users filter on encountered errors while allowing them to correlate those with the inputs producing them is imperative for facilitating debugging. Lastly, monitoring and documentation correspond with helping best practices: \textit{Continuously Monitor the Behaviour of Deployed Models} and \textit{Communicate, Align, and Collaborate With Others} respectively. +The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. -To allow customising the service's behaviour to fit different use cases, the default configurations can be overridden by calling some library functions. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. \begin{listing}[!ht] \begin{minted}[ @@ -182,16 +179,20 @@ def add_to_secret_number(positive_number: int, model: int) -> int: assert add_number(1).output == 5 \end{minted} -\captionsetup{width=.9\linewidth} -\caption{A simple \textit{GreatAI} service with behavioural customisations. In practice, the function would probably be the inference function for an ML model.} +\captionsetup{width=.9\linewidth,position=top,skip=-20pt} +\caption{A simple \textit{GreatAI} service with behavioural customisations.} \label{listing:complex} \end{listing} +Coincidentally, deployment best practices can be easily implemented in this wrapper layer. In the first iteration, these are input validation, persisting traces, online monitoring, and generating documentation. Input validation may be used to \textit{Check that Input Data is Complete, Balanced and Well Distributed}. Traces are essential for both \textit{Log Production Predictions with the Model's Version and Input Data} and \textit{Provide Audit Trails}. However, traces can also indirectly help \textbf{Robustness} because even production systems cannot be expected to be perfect. Saving and letting the users filter on encountered errors while allowing them to correlate those with the inputs producing them is imperative for facilitating debugging. Lastly, monitoring and documentation correspond with helping best practices: \textit{Continuously Monitor the Behaviour of Deployed Models} and \textit{Communicate, Align, and Collaborate With Others} respectively. + +To allow customising the service's behaviour to fit different use cases, the default configurations can be overridden by calling some library functions. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. + \subsection{Summary} -After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how it fares in a more complex case. +After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how the franework fares in a more complex case. -\begin{figure} +\begin{figure}[H] \centering \includegraphics[width=0.7\linewidth]{figures/dashboard-domains.png} \captionsetup{width=.9\linewidth} diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 058be4e..1e792a7 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -12,11 +12,11 @@ Compared with Section \ref{section:simple-case}, this time around, the toolset o Automatic text summarisation (ATS) is also one of the earliest established tasks of text analysis and boasts numerous promising results \cite{el2021automatic}. Text summarisation is usually divided into extractive and abstractive approaches. Even though the latter can lead to more fluent summaries, it is also prone to hallucinate content that is unfaithful to the input \cite{maynez2020faithfulness}. For this reason, extractive techniques are preferred in this case. -Our problem requires generating a special type of summary: it must only concern a single aspect (tech transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp}, but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. +Our problem requires generating a special type of summary: it must only concern a single aspect (tech-transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp}, but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. Numerous discussions and interviews with business developers over the last two years made it clear that there is no universally agreed-on definition of it. At least all of them agree that they know it when they see it. Additionally, most of them agree that they can confidently make a decision on the granularity of sentences. This gives rise to an obvious idea: show the experts something they can annotate. Because experts' time is valuable, and relevant sentences are few and far between, extra care needs to be taken to improve the ratio of positive examples in the dataset. The research of Iwatsuki Kenichi on formulaic expressions (FEs) \cite{iwatsuki2020evaluation,iwatsuki2021extraction,iwatsuki2021communicative,iwatsuki2022extraction} provides a promising direction to do so. -A formulaic expression is a phrase with zero or more ``slots'' which, when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground-truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms, and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. +A formulaic expression is a phrase with zero or more ``slots'' which, when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms, and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. \subsection{Methods} @@ -26,7 +26,7 @@ We have to note two possible shortcomings of this setup: firstly, the FE intenti \subsection{Results} -For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.4310} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. However, we have to note that the original quality ranges are often criticised for being too relaxed \cite{mchugh2012interrater}. However, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. +For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.4310} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. However, we have to note that the original quality ranges are often criticised for being too relaxed \cite{mchugh2012interrater}. Regardless, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. \begin{figure} \centering @@ -40,7 +40,7 @@ For the first iteration, 1500 sentences were selected for two experts to annotat \kappa_{agreement} \equiv \frac{p_{observed} - p_{expected}}{1 - p_{expected}} = 1 - \frac{1 - p_{observed}}{1 - p_{expected}} \end{equation} -The next step is fine-tuning SciBERT with the help of HuggingFace transformers \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. A validation split, used for early stopping, is also derived from the train split. The objective function is the F1-score of the positive class, and the early stopping patience is five epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. +The next step is fine-tuning SciBERT with the help of Hugging Face \texttt{transformers} \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. A validation split, used for early stopping, is also derived from the train split. The objective function is the F1-score of the positive class, and the early stopping patience is five epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. \begin{displayquote} \textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different data points in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. For facilitating reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own; however, in some cases, it can result in one fewer step to miss. @@ -50,7 +50,7 @@ The next step is fine-tuning SciBERT with the help of HuggingFace transformers \ \textbf{Utility of LargeFiles} For the purposes of the documentation, the fine-tuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by automatically handling the uploads and downloads. Of course, first, backwards compatibility had to be solved for Python 3.7, the only available environment in Colab. \end{displayquote} -The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the task's subjective definition, SciBERT achieves good quality, which is indicated by an F1-score of \textbf{0.89}. +The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the task's subjective definition, SciBERT achieves good quality indicated by an F1-score of \textbf{0.89}. \begin{figure} \centering @@ -62,7 +62,7 @@ The best validation results were achieved after eight epochs which is slightly m Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the ``highlights'' are supposed to reflect the same aspect of papers, therefore, we can reasonably expect some correlation between them. -Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. The two datasets come from non-overlapping sets of papers; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences found by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. +Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. This dataset does not overlap with the training data; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences chosen by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. \begin{figure} \centering @@ -77,13 +77,13 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. \begin{displayquote} -\textbf{Design inspiration} In order to get insights into their inner workings, HuggingFace models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the UI are calculated with this expression: +\textbf{Design inspiration} In order to get insights into their inner workings, Hugging Face models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the UI are calculated with this expression: \begin{minted}[ baselinestretch=1, ]{python} np.sum(result.attentions[-1].numpy()[0], axis=0)[0][1:-1] \end{minted} -Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API that can be achieved by using type hints, descriptive property names, and docstrings. +Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API that can be achieved using type hints, descriptive property names, and docstrings. \end{displayquote} \begin{figure} @@ -96,7 +96,7 @@ Even though the operation is conceptually simple, because of the opaque data str \section{Improving GreatAI} -After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions that were motivated by the \textit{Highlights service} are presented. After which, the final surface of the API is described and evaluated by its relation to the SE4ML \cite{serban2020adoption,serban2021practices} and AI engineering \cite{john2020architecting,john2020ai} best practices. +After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions that were motivated by the \textit{Highlights (summarisation) service} are presented. After which, the final surface of the API is described and evaluated by its relation to the SE4ML \cite{serban2020adoption,serban2021practices} and AI engineering \cite{john2020architecting,john2020ai} best practices. \subsection{Caching} @@ -110,9 +110,9 @@ However, the standard library's \texttt{multiprocessing}, the third party \textt \subsection{Programmatic integration} -Apart from supporting \texttt{async} calls, a couple more steps can be taken to help integrate any service with a \textit{GreatAI} deployment. This is implemented by the \texttt{call\_remote\_great\_ai} function which hides the networking required to call a \textit{GreatAI} instance's REST API. It takes care of validation, automatic retries, serialisation, and deserialisation. This comes with the added benefit of encouraging decoupled services because the friction of integrating them is no longer noticeable, which is beneficial for human collaboration \cite{hasselbring2002component}. +Apart from supporting \texttt{async} calls, a couple more steps can be taken to help integrate any service with a \textit{GreatAI} deployment. This is implemented by the \texttt{call\_remote\_great\_ai} function which hides the networking required to call a \textit{GreatAI} instance's REST API. It takes care of validation, automatic retries, serialisation, and deserialisation. It comes with the added benefit of encouraging decoupled services because the friction of integrating them is no longer noticeable, which is beneficial for human collaboration \cite{hasselbring2002component}. -Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata, proved to be critical features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. +Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata, proved to be valuable features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. \begin{figure} \centering diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index f1d6ef2..dae9748 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -1,14 +1,14 @@ \chapter{Results \& discussion} \label{chapter:interviews} -It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially when it comes to packaging and deploying AI/ML services. My goal was to design a library with an API that finds the balance between being simple enough to adopt without friction yet useful enough to be adopted. Simplicity is subjective, and it will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. +It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially when it comes to packaging and deploying AI/ML services. The objective was to design a library with an API that finds the balance between being simple enough to adopt without friction yet useful enough to be adopted. Simplicity is subjective and will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. \section{Features} \label{section:features} -For answering \textbf{RQ3} --- \textit{To what extent can \textit{GreatAI} automatically implement AI deployment best practices?} --- a comparison is presented in the following that illustrates which best practices can be implemented/scaffolded/configured with little user input; hence, through a simple and streamlined API. Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} summarise the implemented best practices in the context of methods found by prior surveys of scientific and grey literature \cite{serban2020adoption,serban2021practices,john2020architecting}. +For answering \textbf{RQ3} --- \textit{To what extent can \textit{GreatAI} automatically implement AI deployment best practices?} --- a comparison is presented in the following, demonstrating a subset of best practices that can be implemented/scaffolded/configured with little user input; hence, through a simple and streamlined API. Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} summarise the implemented best practices in the context of methods found by prior surveys of scientific and grey literature \cite{serban2020adoption,serban2021practices,john2020architecting}. -In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Partially supported}, \textit{Supported}, and \textit{Fully automated}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, these tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use type hints in their code and it contains a more complex control flow, it can only be partially type-checked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make an effort to implement it fully. +In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Partially supported}, \textit{Supported}, and \textit{Fully automated}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, various tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use type hints in their code and it contains a more complex control flow, it can only be partially type-checked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make an effort to implement it fully. -This is not the case for \textit{Log production predictions with the model's version and input data} because, by default, it is automatically implemented when calling \texttt{@GreatAI.create}. Users can still specify the exact expected behaviour, e.g., where to store traces, additional metrics to log, or disabling the logging of sensitive input. Nevertheless, the best practice is already reasonably well implemented without input from the library's user. +This is not the case for \textit{Log production predictions with the model's version and input data} because, by default, it is automatically implemented when calling \texttt{@GreatAI.create}. Users can still specify the exact expected behaviour, e.g., where to store traces, additional metrics to log, or disabling the logging of sensitive input. Nevertheless, the best practice is already implemented reasonably well without input from the library's user. \begin{table} \centering @@ -21,7 +21,7 @@ This is not the case for \textit{Log production predictions with the model's ver \textbf{Best practice} & \textbf{Implementation} & \textbf{Support} \\\hline Use sanity checks for all external data sources\textsuperscript{1} & \texttt{@parameter} & \checkmark \\\hline -Check that input data is complete, balanced, and well distributed\textsuperscript{1} & \texttt{@parameter} & $\sim$ \\\hline +Check that input data is complete, balanced, and well-distributed\textsuperscript{1} & \texttt{@parameter} & $\sim$ \\\hline Write reusable scripts for data cleaning and merging (for NLP)\textsuperscript{1} & \texttt{utilities} & \checkmark\checkmark \\\hline Make datasets available on shared infrastructure\textsuperscript{1} & \texttt{large\_file} & \checkmark\checkmark \\\hline Test all feature extraction code (for NLP)\textsuperscript{1} & \texttt{utilities} & \checkmark\checkmark \\\hline @@ -89,23 +89,25 @@ Common schemas for common prediction tasks\textsuperscript{3} In Table \ref{table:best-practices-2}, six additional best practices have been added, which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These had not explicitly made it into the aforementioned surveys; however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. -Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide --- sometimes overlapping --- range, especially because there is some overlap between the different studies and even within the studies. However, it is still clear that a large number of best practices can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design, while an even larger number of them can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). +Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide range; furthermore, there is some overlap between the different studies and even within the studies. However, it is still clear that a large number of best practices (17) can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design, and many others (16) can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). \section{Interviews} \label{section:interviews} -One of the central takeaways of Section \ref{section:existing} was that, for example, Seldon Core is useful for implementing or helping to implement many of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single one. According to the adoption rate surveys, this may discourage a large portion of practitioners from using it or other similar frameworks. The presented solution offers a different mix of features: the initial threshold is virtually non-existent; hence, best practices can be immediately applied. But at the same time, it only covers a more limited range of practices. +One of the central takeaways of Section \ref{section:existing} was that, for example, Seldon Core is useful for implementing or helping to implement most of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single one. According to the adoption rate surveys, this may discourage a large portion of practitioners from using it or other similar frameworks. The presented solution offers a different mix of features: the initial threshold is virtually non-existent; hence, best practices can be applied immediately. But at the same time, it only covers a more limited range of practices. -The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with ten industry practitioners of varying AI/ML and SE experience and backgrounds. In this section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered through the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median experience of 2.5 years) and Software Engineering (with a median experience of 2 years). +The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with ten industry practitioners of varying AI/ML and SE experience and backgrounds. In this section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered through the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median of 2.5 years) and Software Engineering (with a median of 2 years). \subsection{Best practices survey} \label{subsection:best-practices-survey-results} The practitioners were first asked to fill out a questionnaire about their latest AI/ML project involving deployment. This point-in-time measurement (shown in Appendix \ref{appendix:practices}) served as a baseline for the deployment quality they are used to. Analysing the results show that the amount of software engineering experience has a moderately strong correlation ($r_{Pearson} = 0.67$ with $p = 0.0033$) with the overall number and extent of implemented deployment best practices. This is illustrated in Figure \ref{fig:adoption}. Interestingly but unsurprisingly, there is no similar statistically significant relationship regarding the amount of data science experience. -The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1, which is subsequently averaged over all questions. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. Because the survey's 15 questions were compiled from Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}\footnote{As explained earlier, measuring quality as a function of best practice count would be dubious. Thus, the achieved magnitude of the doubling is not relevant; however, the direction of change is.}. Moreover, this provides further evidence for answering \textbf{RQ3} showing the extent of automatically implemented practices over \textit{non-GreatAI} deployments. +The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1, which is subsequently averaged over all questions. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. + +Because the survey's 15 questions were compiled from the \textit{Fully automated} rows of Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}\footnote{As explained earlier, measuring quality as a function of best practice count would be dubious. Thus, the achieved magnitude of the doubling is irrelevant; however, the direction of change is.}. Moreover, this provides further evidence for answering \textbf{RQ3} showing the extent of automatically implemented practices over non-\textit{GreatAI} deployments. \begin{figure} \centering - \includegraphics[width=0.7\linewidth]{figures/best-practices.png} + \includegraphics[width=0.6\linewidth]{figures/best-practices.png} \captionsetup{width=.9\linewidth} \caption{Best practices adoption rate as a function of software engineering experience. The point sizes denote the practitioners' experience in Data Science (DS). The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} \label{fig:adoption} @@ -113,14 +115,14 @@ The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{ \subsection{Technology acceptance} -Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) were analysed. Only two statistically significant ($P < 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. +Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. -\begin{table}[H] +\begin{table} \centering \captionsetup{width=.9\linewidth} \caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The input values range from 1 to 7.} \label{table:tam} -{\renewcommand{\arraystretch}{1.2} % for the vertical padding +{\renewcommand{\arraystretch}{1.1} % for the vertical padding \begin{tabular}{|c|r|r|r|} \hline & \textbf{Perceived ease of use} & \textbf{Perceived utility} & \textbf{Intention to use} \\\hline \textbf{Median} & 5.750 & 6.375 & 6.250 \\\hline @@ -133,7 +135,7 @@ The summary of the answers is presented in Table \ref{table:tam}. The assessment \subsection{Task solving \& exit interviews} -In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they had been doing recently. Stemming from this diversity, these semi-structured interviews should provide valuable insights into the generalisability of \textit{GreatAI}. +In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they had been doing recently. Stemming from this diversity, these semi-structured interviews could be expected to provide valuable insights into the generalisability of \textit{GreatAI}. First, the volunteers were asked to skim through the library's documentation beforehand, and they were also given a short verbal overview during the one-on-one sessions. This was followed by having them solve a prepared deployment task\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}.}, which is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. The training part of the task had already been done, and the participants only had to deploy a trained classifier. The interviews took approximately one and a half hours each. @@ -143,33 +145,33 @@ Thematic analysis is an iterative qualitative investigation technique consisting \paragraph{Functionality} The library's feature-set was complimented during most interviews, with one participant noting that, although the overall number of features is relatively small, most of them are utilised in most cases. Similarly, the \texttt{utilities} submodule was appreciated for helping greatly in the interview task, but non-NLP researchers noted its likely inadequacy for their area. Still, they would like to see ``bundle'' or ``toolbox''-style modules for their fields because it would save them from a lot of copy-pasting. -The easy parallel feature extraction and large file handling support were highlighted multiple times for the reason that the particular interviewees had not encountered other libraries providing these features. Other concrete features, such as the searchable \textit{exceptions} column in the Dashboard's table and the \textit{feedback} mechanism, were also popular. One professional highlighted the latter for coercing users to consider a human-in-the-loop approach which is said to be often expected in modern systems. +The effortless parallel feature extraction and large file handling support were highlighted multiple times for the reason that the particular interviewees had not encountered other libraries providing these features. Other concrete features, such as the searchable \textit{exceptions} column in the Dashboard's table and the \textit{feedback} mechanism, were also popular. One professional highlighted the latter for coercing users to consider a human-in-the-loop approach which was said to be often expected in modern systems. When reflecting on the framework from a bird's eye view, the generality and extendability of the API were emphasised. As explained by a senior engineer, this is mainly because once you commit to using it, it is important not to find yourself at a dead end for a specific use case forcing you to look for a different library. However, two participants also noted that for complete generality, \texttt{MATLAB} support would be necessary. Regarding non-functional features, private hosting (especially in banking and government), open-source auditability, and easy scaling (by means of an external database) were the top subjects of praise. \paragraph{API} Regarding the surface through which clients interact with the library, the feedback is also positive but more nuanced. Many participants liked that the functions' behaviour is easy to guess from their names. The decorator syntax caused minor confusion but consulting the documentation solved the issues in all three cases. The CLI app \texttt{great-ai} was appreciated for having a close to trivial signature; the participant noted that she strives to use as few CLI commands as feasible. Surprisingly, even the practitioners with more data science background appreciated the Docker support. Nonetheless, one expert had a feature request for a configuration UI because his colleagues are used to handling MATLAB App Designer applications. -The recurring theme of the discussions focused on the question of ``\textit{How simple is too simple?}''. The argument is that an API cannot be simpler than the domain in which it exists. More precisely, it can only be simpler at the cost of losing transparency. Let us take the example of saving models using \texttt{save\_model()}. If a project is set up correctly, it either has an initial \texttt{configure} call to the storage provider backend, or it has an appropriately named credentials file in the project's root, for instance, \texttt{s3.ini} or \texttt{mongo.ini}. Once set up, it is trivial to use as long as we do not divert from the happy path. However, if an issue arises, such as an upgrade or migration of MongoDB, debugging the application is non-trivial for its lack of transparency. +The recurring theme of the discussions focused on the question of ``\textit{How simple is too simple?}''. The argument is that an API cannot be simpler than the domain in which it exists. More precisely, it can only be simpler at the cost of losing transparency. Let us take the example of saving models using \texttt{save\_model()}. If a project is set up correctly, it either has an initial \texttt{configure()} call to the storage provider backend, or it has an appropriately named credentials file in the project's root, for instance, \texttt{s3.ini} or \texttt{mongo.ini}. Once set up, it is trivial to use as long as we do not divert from the happy path. However, if an issue arises, such as an upgrade or migration of MongoDB, debugging the application is non-trivial for its lack of transparency. In other words, we could say that the average (cognitive) complexity is low while the worst-case is as high --- if not higher --- than without using \texttt{save\_model()}. This proved to be somewhat controversial. However, ultimately, optimising the happy path of the AI/ML development lifecycle was deemed worthwhile by the participants in most cases. With the argument that the majority of the time spent during a project is spent on this path anyway. However, this raises the question of who exactly are the target users of \textit{GreatAI} and who will fix arising issues? -\paragraph{Responsibility to adopt} Let us first look at some insightful anecdotes that surfaced during the interviews. Especially in more research-oriented environments, production deployment pipelines can be of questionable robustness. This was demonstrated by one account of a simple single-machine deployment's pipeline: it is an interplay of \texttt{cron} jobs calling a series of shell and MATLAB scripts resembling a Rube Goldberg machine. But, connecting a couple of Google Colab accounts to a GitHub repository and Weights\&Biases to implement parallel model training can also be found in the industry. +\paragraph{Responsibility to adopt} Let us first look at some insightful anecdotes that surfaced during the interviews. Especially in more research-oriented environments, production deployment pipelines can be of questionable robustness. This phenomenon was demonstrated by one account of a simple single-machine deployment pipeline: it is an interplay of \texttt{cron} jobs calling a series of shell and MATLAB scripts resembling a Rube Goldberg machine. But connecting a couple of Google Colab accounts to a GitHub repository and Weights\&Biases to implement parallel model training can also be found in the wild. -These, when combined with the fact that various research companies were mentioned that for multiple years used to or still have an R\&D department consisting solely of data scientists. In one extreme case, the staff was described as more than 30 data scientists and 0 other technical employees. In such a setup, it is unreasonable to expect even professionals to have the capabilities and focus to set up the required foundation for handling all best practices. All but one interviewee verified this assumption. They also referred to their previous projects, which usually required many researchers and experts from various fields, and too often, software engineers are not prioritised to be included. +Moreover, various research companies were mentioned that for multiple years used to or still have an R\&D department consisting solely of data scientists. In one extreme case, the staff was described as more than 30 data scientists and 0 other technical employees. In such a setup, it is unreasonable to expect even professionals to have the capabilities and focus to set up the required foundation for handling all best practices. All but one interviewee verified this assumption. They also referred to their previous projects, which usually required many researchers and experts from various fields, and too often, software engineers had not been prioritised to be included. -Doing software engineering without software engineers is difficult. \textit{GreatAI} is not a viable replacement for any well-trained expert, though it is still better than nothing. During the interviews, we realised that the likely underlying reason for not employing AI engineers or software engineers as part of AI/ML projects is a lack of awareness. This was theorised by some and demonstrated by six participants who had, even though followed some, not explicitly sought out AI deployment best practices. Thus, raising awareness --- especially by presenting a value proposition, e.g. lower maintenance costs, better long-term quality --- might be crucial for generally improving AI deployments. Verifying this hypothesis could be a worthwhile direction for future research. +Doing software engineering without software engineers is difficult. \textit{GreatAI} is not a viable replacement for any well-trained expert, though it is still better than nothing. During the interviews, we realised that the likely underlying reason for not employing AI engineers or software engineers as part of AI/ML projects is a lack of awareness. This was theorised by some and demonstrated by six participants who had, even though followed some, not explicitly sought out AI deployment best practices. Thus, raising awareness --- especially by presenting a value proposition, e.g. lower maintenance costs and better long-term quality --- might be crucial for improving AI deployments in general. Verifying this hypothesis could be a worthwhile direction for future research. -During the larger discussions, \textit{GreatAI} was deemed appropriate for awareness raising since it showcases how even a simple library is able to implement a lot of best practices. Additionally, it was noted that it could also be considered for one-person projects where --- by definition --- it is admissible to have no SE expert on the ``team''. To further help such cases, integrating a one-click Heroku\footnote{\href{https://www.heroku.com/}{heroku.com}} app deployment was also recommended to simplify the entire second half of the lifecycle. +During the larger discussions, \textit{GreatAI} was deemed appropriate for awareness raising since it showcases how even a simple library is able to implement a lot of best practices. Additionally, it was noted that it could also be considered for one-person projects where --- by definition --- it is admissible to have no SE expert on the ``team''. To further help such cases, integrating a one-click Heroku\footnote{\href{https://www.heroku.com/}{heroku.com}} app deployment was also recommended to simplify the entire last portion of the lifecycle. \subsection{Discussion of interviews} My overall takeaway from this is that most features were well-received, and the high mean value of \textit{perceived utility} is credible. The criticism of being NLP-centric is also justified: the initial scope of the proof-of-principle framework was limited to this domain. Nonetheless, learning the experts' opinion that they wish to have a similarly specific solution to their problem contexts is reassuring because it proves that the API is not only generalisable but is expected to be generalised. At the same time, it is crucial to admit that no one-size-fits-all solution can exist for such a diverse domain. Therefore, allowing customizability and easy extension of the system must remain central design questions. -Regarding the API's level of abstraction, I have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. While the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}, for instance, HuggingFace's \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users do not wish to tackle. +Regarding the API's level of abstraction, I have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. At the same time, the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}. For instance, Hugging Face \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users are not expected to tackle. -In order to reach its goal of improving best practice adoption, \textit{GreatAI} can help raise awareness by presenting a verifiable value proposition, i.e. a couple of lines of code can already result in more maintainable, robust, high-quality deployments. This might prompt users or technical decision-makers to invest more in software engineering in AI/ML projects. Additionally, it can help the effectiveness of AI/software engineers by handling the grunt work of implementing some best practices and therefore leave them with more resources to focus on the complex and creative aspects of \textit{GREAT} deployments. +In order to reach its goal of improving best practice adoption, \textit{GreatAI} can help raise awareness by presenting a verifiable value proposition, i.e. a couple of lines of code can already result in more maintainable, robust, high-quality deployments. This might prompt users or technical decision-makers to invest more in software engineering in AI/ML projects. Additionally, it can help the effectiveness of AI/software engineers by handling the grunt work of implementing some best practices, leaving them with more resources to focus on the complex and creative aspects of \textit{GREAT} deployments. -In summary, the answer to \textit{How suitable is the design of GreatAI for helping to apply best practices in other contexts?} (\textbf{RQ4}) is --- unsurprisingly --- subjective. Combining the high value of \textit{intention to use} from Table \ref{table:tam}, the generally positive feedback regarding the library's added value, and numerous feature requests for fine-tuning it to specific needs, we can conclude that there is some chance of suitability for generalisability. The existence of this potential is already exciting and presents an opportunity for experimenting with building on the design of \textit{GreatAI}. +In summary, the answer to \textit{How suitable is the design of GreatAI for helping to apply best practices in other contexts?} (\textbf{RQ4}) is --- unsurprisingly --- subjective. Combining the high value of \textit{intention to use} from Table \ref{table:tam}, the generally positive feedback regarding the library's added value, and the numerous feature requests for fitting it to specific needs, we can conclude that there is some chance of suitability for generalisability. The existence of this potential is already exciting and presents an opportunity for experimenting with building on the design of \textit{GreatAI}. \subsection{Threats to validity} @@ -179,7 +181,7 @@ Secondly, the survey answers and, in general, the interviewees may be subject to \section{Future work} -The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. Although it has already proved its utility, it has also shown that extending its functionality would be worthwhile. Therefore, a number of potential improvements to \textit{GreatAI} are presented below primarily from the needs arisen during the exit interviews. +The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. Although it has already proved its utility, it has also shown that extending its functionality would be worthwhile. Therefore, many potential improvements to \textit{GreatAI} are presented below primarily from the needs arisen during the exit interviews. \subsection{More AI/ML fields} @@ -193,4 +195,4 @@ As described in Designing Data-intensive Applications \cite{kleppmann2017designi Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. -The common theme among the opportunities mentioned above is that they could be reasonably well implemented without any user input, which aligns with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} also allows anyone already to provide support for a wide range of integrations. Additionally, the scope could be reasonably extended, i.e. more practices could also be incorporated into the scope by including more criteria next to the \textit{GREAT} ones. +The common theme among the opportunities mentioned above is that they could be implemented reasonably well without any user input, which aligns with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} already allows anyone to provide support for a wide range of integrations. Additionally, the scope could be reasonably extended, i.e. more practices could be incorporated by including more criteria next to the \textit{GREAT} ones. diff --git a/docs/thesis/chapters/7_conclusion.tex b/docs/thesis/chapters/7_conclusion.tex index 64fa820..42ac9b2 100644 --- a/docs/thesis/chapters/7_conclusion.tex +++ b/docs/thesis/chapters/7_conclusion.tex @@ -2,11 +2,11 @@ Concerned by the asymmetry between the industry's adoption of accessible AI/ML-libraries and existing solutions for their robust deployment, we investigated this phenomenon's causes and potential resolution. When looking at various recent case studies, a recurring theme was revealed: \textit{transitioning} from prototype to production-ready AI/ML deployment is a source of adversity for small and large enterprises alike. Even though several frameworks and platforms exist for facilitating this step, surveys on the execution of best practices continue to expose the industry's shortcomings. This signals that existing libraries are underutilised, which may lead to poor AI deployments that underperform or develop issues that go unnoticed and might inflict societal harm. -It was hypothesised that presenting a library which implements best practices and is also optimised for ease of adoption could help increase the overall quality of industrial AI/ML deployments. To test this, a framework was designed and implemented based on the principles of cognitive science and the prior art of software design. The design was subsequently tested and refined in an iterative process. First, a model was developed and deployed for classifying the domains of academic publications. Then, a SciBERT model was fine-tuned and deployed for generating the technology-transfer summaries of the same publications. \textit{GreatAI} had been proven helpful; therefore, after feeding back the insights gained into its design, it was turned into an open-source library. Furthermore, \textit{GreatAI} has been successfully integrated into every production deployment of ScoutinScience since then and recieves thousands of monthly downloads. +It was hypothesised that presenting a library which implements best practices and is also optimised for ease of adoption could help increase the overall quality of industrial AI/ML deployments. To test this, a framework was designed and implemented based on the principles of cognitive science and the prior art of software design. The design was subsequently tested and refined in an iterative process. First, a model was developed and deployed for classifying the domains of academic publications. Then, a SciBERT model was fine-tuned and deployed for generating the technology-transfer summaries of the same publications. \textit{GreatAI} had been proven helpful; therefore, after feeding back the insights gained into its design, it was turned into an open-source library. Furthermore, \textit{GreatAI} has been successfully integrated into every production deployment of ScoutinScience since then and receives thousands of monthly downloads. -During the refinement of the framework, six previously unaddressed AI/ML deployment best practices were identified. Including these, the framework fully implements 17 best practices while it provides support for another 16. The value provided by implementing or helping to implement these practices was validated through interviews with ten industry professionals from various fields. +During the refinement of the framework, six previously unaddressed AI/ML deployment best practices were identified. Including these, the framework fully implements 17 best practices while it provides support for another 16. The value provided by implementing or helping to implement these practices was validated through interviews with ten industry professionals from various subfields. -The interview participants completed two questionnaires, the results of one of which indicated that using \textit{GreatAI} in an example task increased the number of implemented best practices by 49\% compared with their latest project. The technology acceptance model was also calculated for the context; a significantly strong correlation was measured between the perceived ease of use, the perceived utility and the intention to use dimensions. Overall, proving that ease of use is just as important as core functionality when it comes to adopting AI deployment frameworks. +The interview participants completed two questionnaires, the results of one of which indicated that using \textit{GreatAI} in an example task increased the number of implemented best practices, on average, by 49\% compared with their latest project. The technology acceptance model was also calculated for the context; a significantly strong correlation was measured between the perceived ease of use, the perceived utility and the intention to use dimensions. Overall, proving that ease of use is just as important as core functionality when it comes to adopting AI deployment frameworks. The open-ended exit interviews revealed that value can be derived from the library even in its current form and that the API's design has the opportunity to generalise to other fields of industrial AI/ML applications. However, they also highlighted that adoption issues do not necessarily come from a lack of willingness but a lack of awareness. Even if the returns achievable from good deployments are well worth the investment. Nevertheless, this value proposition needs to be conveyed and proved to data science professionals and technical decision-makers; and \textit{GreatAI} might just be the ideal candidate for that. diff --git a/docs/thesis/comments.txt b/docs/thesis/comments.txt deleted file mode 100644 index a528696..0000000 --- a/docs/thesis/comments.txt +++ /dev/null @@ -1,176 +0,0 @@ -Thesis notes - - -Should the order of the decorators matter? all except in one case, they're written in a way that the order doesn't matter even with the original semantics of decorators. In that one case, it cannot be written in that way. Instead of correcting a user's error, there's a mechanism looking for this error and the user is notified. Guessing the unspecified is cool, but correcting the wrong is not - -✅ hot-reload -✅ Extract doc comment from function with markdown -✅ Evaluate endpoint -✅ body instead of query -✅ automatically find parameters -✅ Generic return types -✅ Data engineer notebook, ds notebook, deployment script -✅ Nice error handling -✅ notebook support -✅ Evaluation result return type that contains explanation - explanation field -✅ largefiles mongo backend -✅ Fix endpoints -✅ Bug: should recreate table -✅ Mongo, Create index for each encountered field - async -✅ Save test/train data - tags and ground truth classifier? -✅ Handle multiple great ai instances -✅ create_shadow_deployment -> traceId, evaluationId - -Show model accuracy statistics -Test entry point function -> with expected error rate - -Show data distribution - buttons in header? - -Cannot be installed -> save model card, https://github.com/tensorflow/model-card-toolkit - -Cannot use google-research/robustness_metrics Only works for TF - -Why do I have a complex example, it's supposed to be a simple library -Argumetn/parameter names were confusing - -For example: large file is easy to replace, the decisions are found by the best practices table and highlighted on the dashboard - -During development, I wanted to check out which types of request fail -> log errors in traces -Even production systems are not perfect, saving and letting the users filter on the errors is useful. e.g. they can correlate it with the input - -Should the order of the decorators matter? all except in one case, they're written in a way that the order doesn't matter even with the original semantics of decorators. In that one case, it cannot be written in that way. Instead of correcting a user's error, there's a mechanism looking for this error and the user is notified. Guessing the unspecified is cool, but correcting the wrong is not - -Users like sonar checks, ci/cd, docker files, makes the project seem more trustworthy, also provides integration for them - -Leslie Lamport: problems are difficult to find at a research h table, they come from practice - -%matplotlib inline is called automatically on first draw, very confusing as it resets the rcParams, you have to set them twice, like come on - - Have to explicitly write version="latest" to signify that it can change any time someone uploads a new model - -offline_mode -> cache_only_mode - --------------------------------------------- - -Design science methodology for information systems and software engineering \cite{wieringa2014design} - -design science research are design problems through its research method, the design cycle - -Design science is the design and investigation of artifacts in context - -Help a class of stakeholders - -e, we outline a research agenda for AI engineering research to help the research community structure and conceptualize the problem space. -]. In addition to this, model deployment is a highly underestimated area [3]. - - -Unfortunately, our research [3]–[5] shows that the transition from prototype to production-quality deployment of ML models proves to be challenging for many companies. - -AI engineering (which we define as an extension of Software Engineering with new processes and technologies needed for development and evolution of AI systems -a set of 16 primary cases as the foundation for the challenges we identify and the research agenda we outline. - -cases representing startups as well as large multinational companies in domains such as e.g. real estate, weather forecasting, fraud detection, sentiment analysis and failure prediction - -we outline a research agenda for AI engineering research to help the research community structure and conceptualize the problem space - -significant additional functionality is required to ensure that the ML/DL model can operate in a reliable and predictable fashion with proper engineering of data pipelines, monitoring and logging, etc. [2], [11]. T - -Instead, we provide an overview in figure 2 and present a categorization of the identified problems in four strategic focus areas, relating to the typical phases of a ML project. These four areas are the following: - - -AI Lifecycle Models Need To Be Revised \cite{haakman2021ai} - -Fintech - ING - -We have found that the following stages have been overlooked by previous lifecycle models: data collection, feasibility study, documentation, model monitoring, and model risk assessment. -more focus is needed on the entire lifecycle. In particular, regardless of the existing development tools for Machine Learning, we observe that they are still not meeting the particularities of this field. - -Cross-Industry Standard Process for Data Mining (CRISP-DM) [39] and the Team Data Science Process (TDSP) -\cite{wirth2000crisp} -https://docs.microsoft.com/en-us/azure/architecture/data-science-process/overview - -What if you just use huggingface? - -"it is hard to isolate two different machine learning models that operate in the same systemA – often they ought to be developed and training together" - -For example, the team of P08 keeps track of an experiment log using a spreadsheet, in which the training set, validation set, model, and preprocessing steps are specified for each version. This approach for versioning is preferred over solutions like MLFlow7 for the sake of simplicity - -Teams resort to self-developed or highly-customized dashboard platforms to monitor the models (P15, P16) - -Researchers could focus on solving the reported challenges in the Machine Learning lifecycle with additional tool support and reveal challenges of the ML lifecycle in other domains by extending the case study to more organizations and different types of industries -Our study shows that, despite the increasing trend on improving the state-of-the-art model training techniques, there is a research gap on the challenges of developing real-world machine learning systems. F - -It is also necessary to create holistic monitoring solutions that can scale to different models in an organization - - - -AI Deployment Architecture: Multi-Case Study for Key Factor Identification -According to [12] and [13], developing, deploying and maintaining complex commercial ML-based system is a challenging task. Most ML-based systems have strict latency requirements at inference stage [14]. Training-serving skew also results in sub-optimal model performance [15]. For the realistic implementation of ML, there is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature [16] [17]. - -Software Engineering for Machine Learning: A Case Study - -MicrosoftE - -Automation is a vital cross-cutting concern - -Automating tests is as important in machine learning as it is in software engineering; teams create carefully put-together test sets that capture what their models should do. However, it is important that a human remains in the loop. One respondent said, “we spot check and have a human look at the errors to see why this particular category is not doing well, and then hypothesize to figure out problem source.” - -In addition, respondents with low experience rank challenges with integrating AI into larger systems higher than those with medium or high experience. - -. Software engineers prefer to design and build systems which are elegant, abstract, modular, and simple. By contrast, the data used in machine learning are voluminous, context-specific, heterogeneous, and often complex to describe. These differences result in difficult problems when ML models are integrated into software systems at scale. - ---- - -[3] AI components can be entangled in complex ways -. Thus, even if separate teams built each model, they would have to collaborate closely in order to properly train or maintain the full system. This phenomenon (also referred to as component entanglement) can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality because the rest of the system is not tuned to the latest improvements. - -Ethics guidelines for trustworthy AI - -https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai - -> (3) robust - both from a technical perspective while taking into account its social environment - -7 key requirements -Human agency and oversight: -Technical Robustness and safety:  -Transparency -Accountability - -Understanding Development Process of Machine Learning Systems: Challenges and Solutions \cite{de2019understanding} - -Given that several ML system development companies are either startups or small companies with few developers, it is of utmost importance to understand the needs and challenges of developers working in these small organizations. - -ns. However, there is a gap in understanding how professionals develop ML systems in small and local companies. - - -Versioning for End-to-End Machine Learning Pipelines \cite{van2017versioning} -Highlights the importance of schema versioning in an environment of rapidly changing models and transformations - -Adoption and Effects of Software Engineering Best FinaPractices in Machine Learning \cite{serban2020adoption} -aim: determine the state of the art in how teams develop, deploy and maintain software with ML components. - -t traditional software engineering practices tend to have lower adoption than ML specific practices - -distilled a set of 29 engineering best practices - -For example, our results suggest that traceability would benefit most from increased adoption of practice 25, the logging of production predictions with model versions and input data. - -Practices for Engineering Trustworthy Machine Learning Applications \cite{serban2021practices} - -the negative impact that improper use of ML can have on users and society is now also widely recognised - -In total, we identified 14 new practices, and used them to complement an existing catalogue of ML engineering practices. - -Well-intentioned but improper development of ML components can cause unintentional harm [2]. - -trustworthy ML is relatively low. - -clearly reflect a desire for ML components to be lawful, ethical and robust [1]. H - -In this paper, we aim to bridge the gap between guidelines from policy makers and operational practices for developers and their immediate collaborators. - - -However, none of these lines of work tackle issues related to the negative impact that improper use of ML has on society - - -We also believe that the adoption of trustworthiness-specific and general ML engineering practices is interconnected; for instance, the practice of continuous integration [6] can make the practices for bias testing more effective. diff --git a/docs/thesis/main.tex b/docs/thesis/main.tex index 7eae4cc..100e5ac 100644 --- a/docs/thesis/main.tex +++ b/docs/thesis/main.tex @@ -21,8 +21,7 @@ left=2.5cm, right=2.5cm, top=2.5cm, - bottom=3.5cm, - footskip=1.5cm]{geometry} + bottom=3cm]{geometry} % Header & footer \pagestyle{fancy} @@ -30,6 +29,11 @@ \renewcommand{\headrulewidth}{0pt} \fancyfoot[C]{\thepage} +% set chapter title margins +\titleformat{\chapter}[display] 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The potential solution is validated through designing a software framework, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. -\absdiv{Method} -The utility of \textit{GreatAI}'s design is validated by applying the principles of design science methodology through iteratively shaping it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with ten practitioners to assess its generalisability. +\absdiv{Methods} +\textit{GreatAI} serves as a proxy for exploring the proposed design decisions, moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is validated by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its generalisability. \absdiv{Results} \textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated overwhelmingly positively in both dimensions. diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index 4824df2..c03b27c 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -1,6 +1,6 @@ \chapter{Introduction} -Artificial intelligence techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. +Artificial intelligence (AI) techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. However, to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as essential as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. @@ -8,16 +8,18 @@ Concerningly, a peculiar tendency seems to be unfolding: even though industry pr This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks to achieve some level of automation and maturity in their deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. -Therefore, a software framework --- called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} --- is designed and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. +Therefore, a software framework --- called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} --- is designed, and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. -The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the text mining pipeline for a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. +The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the natural language processing (NLP) pipeline for a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. + +The choice of case study subject is no coincidence; while working on the ScoutinScience platform for the last two years, my colleagues and I have increasingly noticed the same recurring challenges in deploying and operating AI/ML pipelines. This has motivated me to pursue a general solution. Considering that the company's predominant field is NLP, the case studies, and hence, the prototype of \textit{GreatAI} will also focus primarily on deploying NLP models. Nonetheless, the motivation for creating a general solution for all AI/ML contexts remains and will be taken into account every step of the way. \section{Research questions} I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. \begin{rqlist} - \item To what extent does the complexity of deploying AI hinders industrial applications? + \item To what extent does the complexity of deploying AI hinder industrial applications? \item What API design techniques can be effectively applied in order to decrease the complexity of correctly deploying AI services? \item To what extent can \textit{GreatAI} automatically implement AI deployment best practices? \item How suitable is the design of \textit{GreatAI} for helping to apply best practices in other contexts? diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 9ebeba5..7f46f3c 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -6,7 +6,7 @@ In the following, the context of the problem is presented from three perspective \section{Accessible AI} \label{section:accessible-ai} -Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries. For example, let us consider the domain of natural language processing (NLP). There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. +Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries. For example, let us consider the domain of natural language processing. There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. It is not just these two packages, the list of readily available tools is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index 31e0ef5..a8792c0 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -1,10 +1,10 @@ \chapter{Methods} \label{chapter:methods} -The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their context \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated, and its potential treatment is validated concurrently. This procedure seems fitting for our problem in consequence of its practical nature. +The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their context \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated, and its potential treatment is validated concurrently. This strategy seems fitting for our problem in consequence of its practical nature. The design cycle shares similarities with Action Research \cite{davison2004principles} in which researchers attempt to solve a real-world problem while simultaneously studying the experience of solving said problem. As for the empirical cycle, the pragmatist approach is taken since the value of this research lies in its utility. Moreover, pragmatism adopts an engineering approach to research \cite{shull2007guide}, which happens to be in line with the philosophy of design science. Additionally, as no research method is without flaws, it is imperative to try to compensate for their weaknesses by applying multiple methods. Hence, the study also relies on interviews with professionals to validate the design decisions and determine the generalisability of \textit{GreatAI}. -\section{Design \& empirical cycles} +\section{Design cycle} The aim of \textit{GreatAI} can be summarised using the terminology of design science in the following way: \textit{Facilitate the easy adoption of AI deployment best practices @@ -18,11 +18,21 @@ The practical cases used for the evaluation are further elaborated in Chapter \r Overall, this problem context carries the properties of typical industry use cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on within their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. -Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case is the research and development of a smaller and a more complex AI component using the work-in-progress framework. The treatment is finding a simple, less cognitively-straining-to-use design that still leads to high-quality deployments, the means of which will be defined in Section \ref{section:requirements}. +\begin{figure} + \centering + \includegraphics[width=.75\linewidth]{figures/design-cycle.drawio.png} + \captionsetup{width=.9\linewidth} + \caption{Implementation of the Design Cycle of design science \cite{wieringa2014design} for our problem context of AI/ML deployments. The thinner arrows denote smaller but more frequent iterations.} + \label{fig:design-cycle} +\end{figure} + +The goal is to find a simpler, less cognitively-straining-to-use design that still leads to high-quality deployments, the definition of which will be described in Section \ref{section:requirements}. Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case are the research and development of a smaller and a more complex AI component using the work-in-progress framework. + +The design cycle summarising the research approach is shown in Figure \ref{fig:design-cycle} indicating the role of the case studies. The concerns arisen in the \textit{Treatment validation} iterations and their short discussions are highlighted in the form of \textit{Design notes}. Afterwards, they are addressed in the following \textit{Treatment design} iteration. This way, the issues are immediately addressed and the proposed solutions can be traced back to the problems prompting their introduction. \section{Applicability \& generalisability} \label{section:interview-setup} -To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. Since my colleagues and I are likely to have a bias for (or against) the proposed design, the first step of checking its applicability in other practical contexts is to ask the opinion of non-affiliated practitioners. +To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. The interview candidates were recruited from the recommendations of my acquaintances, who were kindly asked to seek out people from their professional networks with any connection to AI/ML. After the first few interviews, participants were also asked to suggest other candidates, preferably from different subfields. After two iterations of reaching out to potential interviewees personally, ten engineers and researchers eventually responded positively and participated in the study. First, before their interview, participants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index dc52831..9919e41 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -38,7 +38,7 @@ The programming language (PL) of the library should be its only non-general prop The requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. -\section{Design principles} +\section{Design principles} \label{section:principles} Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. @@ -81,3 +81,31 @@ Subjectively, a key component of good DX is \textit{Progressive evaluation} thro At the same time, Python codebases are rarely strictly object-oriented (OO). They are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable; therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer}, which amounts to quicker comprehension. There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, it is only singly negated when overriding it. This approach also implies that something may be recommended to be turned on by default. + +\section{Architecture} \label{section:architecture} + +Although API design has been the central subject so far, it is worth remembering that APIs are usually expected to have corresponding implementations. \textit{GreatAI} is no exception. As laid out in Section \ref{section:principles}, we strive for narrow and deep interfaces; thus, it is time to address the \textit{depth} component. + +\textit{GreatAI} stands on the shoulders of numerous open-source packages and integrates them to provide its various features. The most fundamental dependencies and the entire library in context are shown in Figure \ref{fig:technologies}. Given a Python script or a Jupyter notebook, \textit{GreatAI} transforms the specified prediction functions into a production-ready deployment, deployable either as a Docker image, WSGI-server, or an executable relying on \texttt{uvicorn}. The complete list of dependencies can be found in the repository\footnote{\href{https://github.com/schmelczer/great-ai/blob/main/pyproject.toml}{github.com/schmelczer/great-ai/blob/main/pyproject.toml}}. + +\begin{figure} + \centering + \includegraphics[width=0.65\linewidth]{figures/technologies.png} + \captionsetup{width=.9\linewidth} + \caption{A very high-level overview of \texttt{GreatAI} in its context. The main dependencies are also highlighted.} + \label{fig:technologies} +\end{figure} + +The general theme in the implementation is that each explicit best practice should have its distinct, loosely-coupled functions or classes. When collaboration opportunities arise, such as persisting the model versions (\nth{1} component) into prediction traces (\nth{2} component), there are three primary conduits for realising them. These are the \texttt{context} object responsible for the global configuration per process, the \texttt{FunctionMetadataStore} specifying the expected behaviour of each prediction function, and finally the \texttt{TracingContext} that is created anew for each prediction input (session). + +After refining the framework with feedback gathered from case studies and users, we will end up with the core architecture presented in Figure \ref{fig:architecture}. The implementation is mixed-paradigm, combining the expressiveness of functional and the design patterns of object-oriented programming (OOP) in order to maintain an overall low complexity. Reflection is also utilised, especially for run-time type-checking and generating the API definitions and Dashboard components. Regardless, the architecture is still presented with a syntax similar to the class diagrams of UML2 \cite{Rumbaugh2004} because it provides the freedom to express even the non-OOP design aspects. + +For the sake of brevity, Figure \ref{fig:architecture} does not show all fields, and some related entities have been combined, e.g. the \textit{GroundTruthAPI} box represents the \texttt{add\_ground\_truth}, \texttt{query\_ground\_truth}, and \texttt{delete\_ground\_truth} functions. The client project can also access most of the presented entities, but these optional dependency arrows are not shown in the diagram. The \texttt{utilities} submodule is also left unexpanded; almost all of its functions are orthogonal with the exception of \texttt{parallel\_map}. The latter follows a textbook producer-consumer model facilitated by queues and event signals \cite{wang2020producer}. + +\begin{figure} + \centering + \includegraphics[width=\linewidth]{figures/architecture.png} + \captionsetup{width=.9\linewidth} + \caption{The core architecture of \textit{GreatAI} illustrated with syntax loosely-based on UML2 \cite{Rumbaugh2004}. Given its framework nature, the expected client project and the actor integrating it are highlighted; the associations between the framework and the client project are achieved through the use of decorators.} + \label{fig:architecture} +\end{figure} diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index c56287d..204ec05 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -1,6 +1,6 @@ \chapter{The ScoutinScience platform} \label{chapter:case} -The core product of \href{https://scoutinscience.com/}{ScoutinScience B.V.} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. +The core product of ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 399a624..923b230 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -82,7 +82,7 @@ When this model is applied to the \textit{test} split of MAG, we get the confusi It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a straightforward task like this. Apart from phrases, the relations between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}; hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. -Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1-score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. +Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average than on MAG, with F1-score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. The lower F1-score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 1e792a7..1e0f1b5 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -1,3 +1,4 @@ +\newpage \section{Text summarisation with SciBERT} \label{section:complex-case} The ScoutinScience Dashboard contains a full-page evaluation view for academic publications. On this, the known metadata, historical trends about the paper's topics, social media mentions, a PDF viewer showing the document, and other augmentation tools are displayed. One of these is the \textit{Highlights} section, which aims to summarise the paper from a technology-transfer perspective. diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index dae9748..8d78adf 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -74,8 +74,8 @@ Allow experimentation with the inference code\textsuperscript{3} Keep the model's API and documentation together\textsuperscript{3} & Dashboard and Swagger & \checkmark\checkmark \\\hline Parallelise feature extraction\textsuperscript{3} & \texttt{parallel\_map} & \checkmark\checkmark \\\hline Cache predictions\textsuperscript{3} & \texttt{@GreatAI.create} & \checkmark\checkmark \\\hline -Async support for top-down chaining models\textsuperscript{3} & All decorators support async & \checkmark\checkmark \\\hline -Common schemas for common prediction tasks\textsuperscript{3} & \texttt{views} & \checkmark \\\hline +Support asynchronous top-down chaining of models\textsuperscript{3} & All decorators support async & \checkmark\checkmark \\\hline +Implement standard schemas for common prediction tasks\textsuperscript{3} & \texttt{views} & \checkmark \\\hline \end{tabular}} \begin{tablenotes} @@ -115,9 +115,7 @@ Because the survey's 15 questions were compiled from the \textit{Fully automated \subsection{Technology acceptance} -Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. - -\begin{table} +\begin{table}[H] \centering \captionsetup{width=.9\linewidth} \caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The input values range from 1 to 7.} @@ -131,6 +129,8 @@ Participants filled out a form (shown in Appendix \ref{appendix:questions}) afte \end{tabular}} \end{table} +Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. + The summary of the answers is presented in Table \ref{table:tam}. The assessment of \textit{ease of use} lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high \textit{perceived utility} implies that \textit{GreatAI} shows its value early on. This, combined with the correlations uncovered within the context's technology acceptance model, validates the hypothesis that focusing on good API design is just as necessary as providing practical features. \subsection{Task solving \& exit interviews} @@ -181,11 +181,13 @@ Secondly, the survey answers and, in general, the interviewees may be subject to \section{Future work} -The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. Although it has already proved its utility, it has also shown that extending its functionality would be worthwhile. Therefore, many potential improvements to \textit{GreatAI} are presented below primarily from the needs arisen during the exit interviews. +The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. +The library's main limitations come from its bias toward NLP deployments. This is not unreasonable given the design's explorative nature and the context of the case studies. Nevertheless, future work must focus on introducing and balancing support for many more fields' deployments. Although \textit{GreatAI} has already proved its utility, it has also shown that generalising and extending its functionality would be worthwhile. Therefore, many potential improvements are presented below, primarily from the needs arisen during the exit interviews. + \subsection{More AI/ML fields} -The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data, while the latter gives robust feature extraction support for only textual input. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview for them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for widely expanding the scope of applicability of \textit{GreatAI}. +The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data, while the latter gives robust feature extraction support for only textual input. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview of them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for counteracting the NLP bias. Hence, widely expanding the scope of applicability of \textit{GreatAI}. As we have seen in Section \ref{section:architecture}, the architecture is otherwise adequately general; therefore, incremental extensions can be applied. \subsection{More best practices} diff --git a/docs/thesis/chapters/7_conclusion.tex b/docs/thesis/chapters/7_conclusion.tex index 42ac9b2..e7a7939 100644 --- a/docs/thesis/chapters/7_conclusion.tex +++ b/docs/thesis/chapters/7_conclusion.tex @@ -12,4 +12,4 @@ The open-ended exit interviews revealed that value can be derived from the libra \textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments. At the same time, it also saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is feasible by designing narrower and deeper APIs. -Good deployments benefit all of us. Accordingly, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results have shown --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle with a focus on adoptability. Having automated implementations, even if for just the straightforward best practices, leaves professionals additional time to tackle the more complex deployment challenges and fewer opportunities to miss critical steps. Overall, resulting in more robust, end-to-end automated, and trustworthy AI deployments. +Good deployments benefit all of us. Accordingly, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results have shown --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle with a focus on adoptability. Having automated implementations, even if for just the straightforward best practices, leaves professionals additional time to tackle the more complex deployment challenges and fewer opportunities to miss critical steps. Overall, resulting in more general, robust, end-to-end, automated, and trustworthy AI deployments. diff --git a/docs/thesis/chapters/appendix.tex b/docs/thesis/chapters/appendix.tex index f3a97bc..765c6b5 100644 --- a/docs/thesis/chapters/appendix.tex +++ b/docs/thesis/chapters/appendix.tex @@ -21,7 +21,7 @@ Similarly to the approach of \cite{serban2020adoption}, participants are asked a \item Keep the model's API and documentation together \item Parallelise feature extraction \item Cache predictions -\item Async support for top-down chaining models +\item Support asynchronous top-down chaining of models \end{enumerate} \chapter{Technology acceptance model questionnaire} \label{appendix:questions} diff --git a/docs/thesis/figures/architecture.png b/docs/thesis/figures/architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..1797db027cfb4d2c2cabc426094942a400b009f3 GIT binary patch literal 797928 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\usepackage{framed} \usepackage{quoting} @@ -144,6 +145,7 @@ \includepdf[pages=-]{frontpage/frontpage.pdf} \include{chapters/0_abstract} +\setcounter{page}{3} \tableofcontents \chapter*{Acknowledgements} diff --git a/docs/thesis/ref.bib b/docs/thesis/ref.bib index cea77bc..98f6be6 100644 --- a/docs/thesis/ref.bib +++ b/docs/thesis/ref.bib @@ -868,3 +868,21 @@ numpages = {3} year={2019}, publisher={Springer} } + +@book{Rumbaugh2004, + title = {Unified Modeling Language Reference Manual, The (2nd Edition)}, + publisher = {Pearson Higher Education}, + year = {2004}, + author = {Rumbaugh, James and Jacobson, Ivar and Booch, Grady}, + isbn = {0321245628} +} + +@inproceedings{wang2020producer, + title={Producer-consumer model based thread pool design}, + author={Wang, Liangzhou and Wang, Chaobin}, + booktitle={Journal of Physics: Conference Series}, + volume={1616}, + pages={012073}, + year={2020}, + organization={IOP Publishing} +} From 4eac2ae88d6e43ba43eab234d35ba21c6325d882 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 4 Sep 2022 17:04:59 +0200 Subject: [PATCH 14/31] Add docker link --- README.md | 2 +- docs/index.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0bb44c4..eba2aaf 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![PyPI version](https://badge.fury.io/py/great-ai.svg)](https://badge.fury.io/py/great-ai) [![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai) -![Docker Pulls](https://img.shields.io/docker/pulls/schmelczera/great-ai) +[![Docker Pulls](https://img.shields.io/docker/pulls/schmelczera/great-ai)](https://hub.docker.com/repository/docker/schmelczera/great-ai) [![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/test.yml) [![Sonar line 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[![Test](https://github.com/schmelczer/great-ai/actions/workflows/test.yml/badge.svg)](https://github.com/schmelczer/great-ai/actions/workflows/test.yml) [![Sonar line coverage](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=coverage)](https://sonar.scoutinscience.com/dashboard?id=great-ai) [![Sonar LoC](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=ncloc)](https://sonar.scoutinscience.com/dashboard?id=great-ai) From eded50a6679b11fdf5d21808f5bf4c54c207e963 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 4 Sep 2022 17:05:17 +0200 Subject: [PATCH 15/31] Add scibert confusion figure --- docs/media/scibert-confusion.png | Bin 0 -> 42181 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 docs/media/scibert-confusion.png diff --git a/docs/media/scibert-confusion.png b/docs/media/scibert-confusion.png new file mode 100644 index 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zBSVJM5~30sXoNigKS(5$4agHoqLHht&)@*FKH}H?wfX%lPZrHII&2&l90PMUggk}- zbm$d2Rf6_I8i?l$WF2&a@FyB)Ex5}=wYYXc=#$6}N0zc{;1ZSF+hQm=`6*QFV x65k^QE|PQqJp~FM^uP5T{{_-RenjnKp~a>vkKSE;wx9fydQ$d8^6?9<{{zS;+$R74 literal 0 HcmV?d00001 From 2c8c5cf589c02c3e387751e318005be89d77c16f Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 4 Sep 2022 17:06:39 +0200 Subject: [PATCH 16/31] Fix layout --- docs/thesis/main.tex | 7 ++++++- docs/thesis/ref.bib | 20 ++++++++++++++++++-- 2 files changed, 24 insertions(+), 3 deletions(-) diff --git a/docs/thesis/main.tex b/docs/thesis/main.tex index a2713d9..5010bb9 100644 --- a/docs/thesis/main.tex +++ b/docs/thesis/main.tex @@ -22,7 +22,12 @@ left=2.5cm, right=2.5cm, top=2.5cm, - bottom=3cm]{geometry} + bottom=2.65cm]{geometry} +\usepackage{array} +\usepackage{ragged2e} + +% Left-aligned fixed-width table column +\newcolumntype{P}[1]{>{\RaggedRight\hspace{0pt}}p{#1}} % Header & footer \pagestyle{fancy} diff --git a/docs/thesis/ref.bib b/docs/thesis/ref.bib index 98f6be6..00aae66 100644 --- a/docs/thesis/ref.bib +++ b/docs/thesis/ref.bib @@ -530,7 +530,6 @@ @inproceedings{Chen_2016, doi = {10.1145/2939672.2939785}, - url = {https://doi.org/10.1145\%2F2939672.2939785}, year = 2016, month = {aug}, publisher = {{ACM}}, @@ -786,7 +785,6 @@ address = {New York, NY, USA}, volume = {51}, number = {10}, issn = {0001-0782}, -url = {https://doi.org/10.1145/1400181.1400186}, doi = {10.1145/1400181.1400186}, abstract = {Are you ready for a personal energy meter?}, journal = {Commun. ACM}, @@ -886,3 +884,21 @@ numpages = {3} year={2020}, organization={IOP Publishing} } + +@book{nunnally1994psychometric, + title={Psychometric theory 3E}, + author={Nunnally, Jum C}, + year={1994}, + publisher={Tata McGraw-hill education} +} + +@article{gao2020survey, + title={A survey on deep learning for multimodal data fusion}, + author={Gao, Jing and Li, Peng and Chen, Zhikui and Zhang, Jianing}, + journal={Neural Computation}, + volume={32}, + number={5}, + pages={829--864}, + year={2020}, + publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals} +} From 4653ef3459622ff62d1145e8953acaa327934034 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 4 Sep 2022 18:44:10 +0200 Subject: [PATCH 17/31] Improve thesis based on comments from @suzanv --- docs/thesis/chapters/0_abstract.tex | 2 +- docs/thesis/chapters/3_methods.tex | 16 ++++--- docs/thesis/chapters/4_design.tex | 4 +- docs/thesis/chapters/5_cases/naive-bayes.tex | 43 ++++++++++--------- docs/thesis/chapters/5_cases/scibert.tex | 30 ++++++++++--- docs/thesis/chapters/6_results.tex | 41 ++++++++++-------- docs/thesis/chapters/appendix.tex | 4 +- docs/thesis/figures/scibert-confusion.png | Bin 29422 -> 43186 bytes docs/thesis/main.pdf | Bin 5558291 -> 5579468 bytes 9 files changed, 83 insertions(+), 57 deletions(-) diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index ff98916..96bd4f3 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -7,7 +7,7 @@ Despite its long-standing history, artificial intelligence (AI) has only recentl This thesis investigates the causes of and a possible resolution to the asymmetry between the adoption of libraries for applying and deploying AI. The potential solution is validated through designing a software framework, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. \absdiv{Methods} -\textit{GreatAI} serves as a proxy for exploring the proposed design decisions, moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is validated by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its generalisability. +\textit{GreatAI} serves as a proxy for exploring the proposed design decisions; moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is validated by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its applicability and generalisability. \absdiv{Results} \textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated overwhelmingly positively in both dimensions. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index a8792c0..788e48d 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -20,7 +20,7 @@ Overall, this problem context carries the properties of typical industry use cas \begin{figure} \centering - \includegraphics[width=.75\linewidth]{figures/design-cycle.drawio.png} + \includegraphics[width=.85\linewidth]{figures/design-cycle.drawio.png} \captionsetup{width=.9\linewidth} \caption{Implementation of the Design Cycle of design science \cite{wieringa2014design} for our problem context of AI/ML deployments. The thinner arrows denote smaller but more frequent iterations.} \label{fig:design-cycle} @@ -32,12 +32,16 @@ The design cycle summarising the research approach is shown in Figure \ref{fig:d \section{Applicability \& generalisability} \label{section:interview-setup} -To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. The interview candidates were recruited from the recommendations of my acquaintances, who were kindly asked to seek out people from their professional networks with any connection to AI/ML. After the first few interviews, participants were also asked to suggest other candidates, preferably from different subfields. After two iterations of reaching out to potential interviewees personally, ten engineers and researchers eventually responded positively and participated in the study. +To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. The interview candidates were recruited from the recommendations of my acquaintances, who were kindly asked to seek out people from their professional networks with any connection to AI/ML. After the first few interviews, participants were also asked to suggest other candidates, preferably from different subfields. After two iterations of reaching out to potential interviewees personally, ten engineers and researchers eventually responded positively and participated in the study. Albeit the sample size is small, it still represents a wide range of organisation types: experts were included from startups, consultancies, government organisations, and research companies. -First, before their interview, participants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. +First, before their interview, participants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. -Notes are taken throughout the interviews and subsequently extended using reflective journaling \cite{halcomb2006verbatim} combined with thematic coding. After which, the insights from the interviewed professionals are distilled using the techniques of thematic analysis \cite{fereday2006demonstrating} following the methodologies of \cite{cruz2019catalog} and \cite{haakman2021ai}. These insights can then be combined with the numerical results to explain and elaborate on them. +The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world deployment task by finishing a partially completed example project\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}. The training part of the task has already been done, and the participants only have to deploy a trained classifier.} using \textit{GreatAI}. This is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. The interviews took approximately one and a half hours each. -The second half consists of a short survey allowing to create the Technology Acceptance Model (TAM) \cite{davis1989perceived} of the problem context. The ultimate goal of the presented library is to help increase the adoption rate of best practices. In order to reach that goal, first, the library itself has to gain adoption. TAM and its numerous variations provide means of measuring users' willingness of adopting new technologies. TAM has been widely applied in literature \cite{marangunic2015technology}, and due to its general psychological origins, it proves to be effective in other areas of technology, not just software \cite{riemenschneider2002explaining}. +They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. + +The guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} are followed for collecting information from interviews and reporting it. This reflexive, iterative process starts by recording participants (with their permission) and concurrent note-taking. Reflective journaling is immediately done post-interview, which is subsequently extended and revised by listening to the recordings. Afterwards, the gathered information is interpreted by applying the methodology of thematic analysis \cite{alhojailan2012thematic}. Thematic analysis is an iterative qualitative investigation technique consisting of labelling, correlating, and structuring the central recurring topics raised during discussions. It has been successfully used in previous software engineering studies for extracting emergent patterns \cite{haakman2021ai,cruz2019catalog}. -The parsimonious version of TAM will be employed, which was measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): perceived usefulness, perceived ease of use, and intention to use. Participants are asked ten questions corresponding to these aspects of their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Chronbach's Alpha \cite{bland1997statistics}, after which the responses are reflected upon. +The second half of the one-on-one sessions consists of a short survey allowing us to create the Technology Acceptance Model (TAM) \cite{davis1989perceived} of the problem context. The ultimate goal of the presented library is to help increase the adoption rate of best practices. In order to reach that goal, first, the library itself has to gain adoption. TAM and its numerous variations provide means of measuring users' willingness of adopting new technologies. TAM has been widely applied in literature \cite{marangunic2015technology}, and due to its general psychological origins, it proves to be effective in other areas of technology, not just software \cite{riemenschneider2002explaining}. + +The parsimonious version of TAM is employed, which has been measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): perceived usefulness, perceived ease of use, and intention to use. Participants are asked ten questions corresponding to these aspects of their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Cronbach's Alpha \cite{bland1997statistics}, after which the responses are reflected upon. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 9919e41..c2e4541 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -40,7 +40,7 @@ The requirements were chosen stemming from their general importance and potentia \section{Design principles} \label{section:principles} -Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. +Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{\textit{Write programs to work together} is also applicable since allowing interoperability is part of the core requirements.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. @@ -50,7 +50,7 @@ Nonetheless, simple APIs come at a high technical cost. The library has to imple \subsection{Default configuration} -\href{https://grugbrain.dev/#grug-on-apis}{Existing frameworks frequently suffer from the entanglement of numerous levels of abstractions.} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. +Existing frameworks frequently suffer from the entanglement of numerous levels of abstractions.\footnote{\href{https://grugbrain.dev/\#grug-on-apis}{grugbrain.dev}} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. For example, tracing the evaluations and the model versions used in a distributed fashion is very much expected of a trustworthy system. Hence, turning this feature on by default but allowing opting-out from it can result in less scaffolding required from the library's users. It also decreases their up-front cognitive load, which by definition flattens the learning-curve \cite{hermans2021programmer}. Similar features can be imagined for providing a service API for the algorithms, giving feedback, marking outliers, and more. diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 923b230..772a00a 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -1,3 +1,4 @@ +\newpage \section{Domain classification with Naïve Bayes} \label{section:simple-case} Using different models for slight variations of the same problem is commonplace in the industry. For instance, UberEats has a vast hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. One of the reasons for this can be the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential). In contrast, in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but, more importantly, their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction classifier for academic papers. @@ -14,18 +15,18 @@ Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin20 \subsection{Data} -Two datasets are considered for the experiments: SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared to MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use case. - -SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences in its train and test splits, respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. - \begin{figure} \centering - \includegraphics[width=0.5\linewidth]{figures/mag-distribution.png} + \includegraphics[width=0.45\linewidth]{figures/mag-distribution.png} \captionsetup{width=.9\linewidth} \caption{Class distribution of the MAG \cite{wang2019review} dataset's 84000 sentences in its \textit{train} split.} \label{fig:mag-distribtion} \end{figure} +Two datasets are considered for the experiments: SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared to MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use case. + +SciBERT's version of the MAG dataset has 84,000 and 22,300 sentences in its train and test splits, respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. + SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data are randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. \begin{figure} @@ -52,7 +53,7 @@ Our aims are twofold: (1) to evaluate a sentence classification model on MAG and It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. -Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter-optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. +Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than five documents or more than 5\% of the documents. @@ -114,7 +115,7 @@ This section briefly explores how the problems raised can be solved using \texti The obstacles coming from the intertwined nature of different models are widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. -We must address two data storage needs: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. +We must address two data storage needs: training data and trained models. Proper version control is one of the most basic expectations for commercial codebases. Based on developer surveys, it is likely that our code is already tracked under Git and synchronised with GitHub\footnote{\href{https://octoverse.github.com/\#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{octoverse.github.com}}. Therefore, using Git Large File Storage (LFS) might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to delete the entire repository\footnote{\href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage\#git-lfs-objects-in-your-repository}{docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage}}. An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. @@ -137,7 +138,7 @@ A function called \texttt{parallel\_map()} is implemented which closely mimics t Some of the expectations one might have for data-intensive (such as AI) software are similar to that for software in general. These are also captured by the best practices: \textit{Use Continuous Integration}, \textit{Automate Model Deployment}, and \textit{Enable Automatic Roll Backs for Production Model} to name a few. It is important to notice that these have already been solved by software engineering, more specifically, by the DevOps paradigm \cite{leite2019survey}. In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, I suggest we wrap the applications in a format more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications; thus, allowing them to reuse those for AI applications seems to be the most convenient approach. -Based on personal empirical evidence, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. +Based on personal experiences, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. \begin{listing}[!ht] \begin{minted}[ @@ -160,24 +161,26 @@ def greeter(name: str) -> str: The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. -\begin{listing}[!ht] +\begin{listing} \begin{minted}[ frame=lines, framesep=2mm, baselinestretch=1, linenos ]{python} -from great_ai import GreatAI, parameter, use_model, log_metric +from great_ai import save_model, GreatAI, parameter, use_model, log_metric + +save_model('special_number', 405) # this could have been called in another script @GreatAI.create @parameter('positive_number', validate=lambda n: n > 0) -@use_model('secret-number', version='latest') -def add_to_secret_number(positive_number: int, model: int) -> int: +@use_model('special_number', version='latest', model_kwarg_name='special') +def add_to_special_number(positive_number: int, special: int) -> int: """This docstring will be exported as documentation.""" - log_metric('log directly into the Trace', positive_number * 2) - return secret + positive_number + log_metric('log directly into the Trace', positive_number ** 2) + return special + positive_number -assert add_number(1).output == 5 +assert add_number(12).output == 417 \end{minted} \captionsetup{width=.9\linewidth,position=top,skip=-20pt} \caption{A simple \textit{GreatAI} service with behavioural customisations.} @@ -188,14 +191,14 @@ Coincidentally, deployment best practices can be easily implemented in this wrap To allow customising the service's behaviour to fit different use cases, the default configurations can be overridden by calling some library functions. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. -\subsection{Summary} - -After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how the franework fares in a more complex case. - \begin{figure}[H] \centering - \includegraphics[width=0.7\linewidth]{figures/dashboard-domains.png} + \includegraphics[width=0.85\linewidth]{figures/dashboard-domains.png} \captionsetup{width=.9\linewidth} \caption{Screenshot of the domain prediction integrated into the ScoutinScience platform, where it is used as a filtering option.} \label{fig:dashboard-domains} \end{figure} + +\subsection{Summary} + +After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how the franework fares in a more complex case. diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 1e0f1b5..0243234 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -23,11 +23,11 @@ A formulaic expression is a phrase with zero or more ``slots'' which, when fille In order to compile a new dataset, experts are asked to judge sentences that passed an \textit{intention check}. This pooling approach is commonly used in information retrieval \cite{schutze2008introduction}. The filtering is expected to sieve out sentences that are probably not relevant from a technology-transfer perspective using Iwatsuki's formulaic expression intention classes. Subsequently, relevance judgements --- in the form of \textit{interesting} or \textit{not interesting} labels --- are gathered for the remaining sentences. This method turns the extractive summarisation into a binary classification task for which a SciBERT model \cite{beltagy2019scibert} can be fine-tuned. Ultimately, the summaries are derived from sentences selected by the classifier trained on the experts' annotations. -We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents and the sparseness of the selected sentences, that any combination of them is likely to have low redundancy. +We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after \textit{tech-transfer opportunities} aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents, and the sparseness of the selected sentences, any combination of them is likely to have low redundancy. \subsection{Results} -For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.4310} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. However, we have to note that the original quality ranges are often criticised for being too relaxed \cite{mchugh2012interrater}. Regardless, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. +For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.43} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. Even though the original quality ranges are sometimes criticised for being too relaxed for the medical domain \cite{mchugh2012interrater}, some leniency is acceptable for many NLP tasks due to their subjectiveness. Regardless, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. \begin{figure} \centering @@ -51,17 +51,33 @@ The next step is fine-tuning SciBERT with the help of Hugging Face \texttt{trans \textbf{Utility of LargeFiles} For the purposes of the documentation, the fine-tuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by automatically handling the uploads and downloads. Of course, first, backwards compatibility had to be solved for Python 3.7, the only available environment in Colab. \end{displayquote} -The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the task's subjective definition, SciBERT achieves good quality indicated by an F1-score of \textbf{0.89}. +The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}, and the per class accuracy metrics in Table \ref{table:scibert-pr}. Despite the task's subjective definition, SciBERT achieves good quality, indicated by an F1-score of \textbf{0.80}. \begin{figure} \centering - \includegraphics[width=0.4\linewidth]{figures/scibert-confusion.png} + \includegraphics[width=0.55\linewidth]{figures/scibert-confusion.png} \captionsetup{width=.9\linewidth} - \caption{Confusion matrix of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset. The values are globally normalised and represent percentages.} + \caption{Confusion matrix of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} \label{fig:scibert-confusion} \end{figure} -Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the ``highlights'' are supposed to reflect the same aspect of papers, therefore, we can reasonably expect some correlation between them. +\begin{table} +\centering +\begin{threeparttable} +\caption{Accuracty metrics of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} +\label{table:scibert-pr} +\setlength{\tabcolsep}{0.75em} % for the horizontal padding +{\renewcommand{\arraystretch}{1.2} % for the vertical padding +\begin{tabular}{|l|r|r|r|} +\hline +{} & \textbf{Precision} & \textbf{Recall} & \textbf{Support} \\\hline +\textsc{non-relevant} & 0.93 & 0.83 & 191 \\\hline +\textsc{relevant} & 0.73 & 0.88 & 109 \\\hline +\end{tabular}} +\end{threeparttable} +\end{table} + +Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the relevant (summary candidate) sentences are supposed to reflect the same aspect of papers, we can reasonably expect some correlation between the grades and relevant sentence counts. Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. This dataset does not overlap with the training data; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences chosen by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. @@ -69,7 +85,7 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr \centering \includegraphics[width=0.85\linewidth]{figures/highlights-histograms.png} \captionsetup{width=.9\linewidth} - \caption{Distribution of mean predicted summary candidate sentence counts in 4 categories. Category \texttt{A} corresponds to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale.} + \caption{Distribution of mean predicted summary candidate sentence counts (refered to as \textit{highlights}) in 4 categories. Category \texttt{A} corresponds to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale.} \label{fig:histograms} \end{figure} diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index 8d78adf..b8e6a02 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -17,7 +17,7 @@ This is not the case for \textit{Log production predictions with the model's ver \label{table:best-practices-1} {\renewcommand{\arraystretch}{1.2} % for the vertical padding -\begin{tabular}{p{7cm}@{\hskip 0.5cm}l@{\hskip 0cm}c} \hline +\begin{tabular}{P{7cm}@{\hskip 0.5cm}l@{\hskip 0cm}c} \hline \textbf{Best practice} & \textbf{Implementation} & \textbf{Support} \\\hline Use sanity checks for all external data sources\textsuperscript{1} & \texttt{@parameter} & \checkmark \\\hline @@ -52,7 +52,7 @@ Log production predictions with the model's version and input data\textsuperscri \label{table:best-practices-2} {\renewcommand{\arraystretch}{1.2} % for the vertical padding -\begin{tabular}{p{7cm}@{\hskip 0.5cm}l@{\hskip 0cm}c} \hline +\begin{tabular}{P{7cm}@{\hskip 0.5cm}l@{\hskip 0cm}c} \hline \textbf{Best practice} & \textbf{Implementation} & \textbf{Support} \\\hline Execute validation techniques: error rates and cross-validation\textsuperscript{2} & \texttt{*\_ground\_truth} & \checkmark \\\hline @@ -103,13 +103,13 @@ The practitioners were first asked to fill out a questionnaire about their lates The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1, which is subsequently averaged over all questions. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. -Because the survey's 15 questions were compiled from the \textit{Fully automated} rows of Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}\footnote{As explained earlier, measuring quality as a function of best practice count would be dubious. Thus, the achieved magnitude of the doubling is irrelevant; however, the direction of change is.}. Moreover, this provides further evidence for answering \textbf{RQ3} showing the extent of automatically implemented practices over non-\textit{GreatAI} deployments. +Because the survey's 15 questions were compiled from the \textit{Fully automated} rows of Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately just by wrapping the inference function with \texttt{@GreatAI.create}: this is the added value of \textit{GreatAI}\footnote{As explained earlier, measuring quality as a function of best practice count would be dubious. Thus, the achieved magnitude of the doubling is irrelevant; however, the direction of change is not.}. Moreover, this provides further evidence for answering \textbf{RQ3} showing the extent of automatically implemented practices over non-\textit{GreatAI} deployments. \begin{figure} \centering \includegraphics[width=0.6\linewidth]{figures/best-practices.png} \captionsetup{width=.9\linewidth} - \caption{Best practices adoption rate as a function of software engineering experience. The point sizes denote the practitioners' experience in Data Science (DS). The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} + \caption{Best practices adoption rate as a function of software engineering (SE) and Data Science (DS) experience. SE experience is shown on the horizontal axis, while the point sizes denote the practitioners' experience in DS. The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} \label{fig:adoption} \end{figure} @@ -118,30 +118,31 @@ Because the survey's 15 questions were compiled from the \textit{Fully automated \begin{table}[H] \centering \captionsetup{width=.9\linewidth} -\caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The input values range from 1 to 7.} +\caption{TAM survey (presented in Appendix \ref{appendix:questions}, sample size = 10) results per variable. The input values range from 1 to 7.} \label{table:tam} {\renewcommand{\arraystretch}{1.1} % for the vertical padding -\begin{tabular}{|c|r|r|r|} \hline +\begin{tabular}{|r|l|l|l|} \hline & \textbf{Perceived ease of use} & \textbf{Perceived utility} & \textbf{Intention to use} \\\hline -\textbf{Median} & 5.750 & 6.375 & 6.250 \\\hline -\textbf{Mean} & 5.450 & 6.125 & 5.950 \\\hline -\textbf{Standard deviation} & 1.039 & 0.850 & 1.322 \\\hline +\textbf{Median} & 5.8 & 6.4 & 6.3 \\\hline +\textbf{Mean} & 5.5 & 6.1 & 6.0 \\\hline +\textbf{Standard deviation} & 1.0 & 0.9 & 1.3 \\\hline +\textbf{Cronbach's alpha} & 0.77 & 0.88 & 0.95 \\\hline \end{tabular}} \end{table} -Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. +Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained ten questions from three categories, which could be rated on a 7-point Likert scale. The summary of the answers is presented in Table \ref{table:tam}. The high Cronbach's alpha values indicate strong internal consistency \cite{nunnally1994psychometric} for each TAM dimension; thus, averaging the responses per category is semantically meaningful. -The summary of the answers is presented in Table \ref{table:tam}. The assessment of \textit{ease of use} lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high \textit{perceived utility} implies that \textit{GreatAI} shows its value early on. This, combined with the correlations uncovered within the context's technology acceptance model, validates the hypothesis that focusing on good API design is just as necessary as providing practical features. +Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. + +The assessment of \textit{ease of use} lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high \textit{perceived utility} implies that \textit{GreatAI} shows its value early on. This, combined with the correlations uncovered within the context's technology acceptance model, validates the hypothesis that focusing on good API design is just as necessary as providing practical features. \subsection{Task solving \& exit interviews} -In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they had been doing recently. Stemming from this diversity, these semi-structured interviews could be expected to provide valuable insights into the generalisability of \textit{GreatAI}. +In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML. -First, the volunteers were asked to skim through the library's documentation beforehand, and they were also given a short verbal overview during the one-on-one sessions. This was followed by having them solve a prepared deployment task\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}.}, which is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. The training part of the task had already been done, and the participants only had to deploy a trained classifier. The interviews took approximately one and a half hours each. +The financial sector was represented by a researcher working on market prediction models for the Hungarian State Treasury and two people building an upcoming digital bank's core services. Image processing contexts were illustrated by professionals predicting Sun activity at the European Space Agency and different ones creating pose-recognition at a startup for people with disabilities using 3D cameras. Moreover, investigating companies' AI use as part of due diligence processes and intrusion detection from network packet traces are just some of the other core activities the interviewees had been doing recently. Stemming from this diversity, these semi-structured interviews could be expected to provide valuable insights into the generalisability of \textit{GreatAI}. -The guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} are followed for collecting information from interviews and reporting it. It is a reflexive, iterative process which starts by recording participants (with their permission) and concurrent note-taking. Reflective journaling is immediately done post-interview, which is subsequently extended and revised by listening to the recordings. Afterwards, the gathered information is interpreted by applying the methodology of thematic analysis \cite{alhojailan2012thematic}. - -Thematic analysis is an iterative qualitative investigation technique consisting of labelling, correlating, and structuring the central recurring topics raised during discussions. It has been successfully used in previous software engineering studies for extracting emergent patterns \cite{haakman2021ai,cruz2019catalog}. After labelling each aspect of the feedback, and two iterations of merging redundant or related topics, we end up with three overarching themes: \textit{Functionality}, \textit{API}, and \textit{Responsibility to adopt}. As we will soon see, these correspond to the \textit{perceived utility}, \textit{perceived ease of use}, and \textit{intetion to use} components of TAM moderately well. +The methodology of Section \ref{section:interview-setup} was followed by applying reflective journaling and thematic analysis. After labelling each aspect of the feedback, and two iterations of merging redundant or related topics, we end up with three overarching themes: \textit{Functionality}, \textit{API}, and \textit{Responsibility to adopt}. As we will soon see, these correspond to the \textit{perceived utility}, \textit{perceived ease of use}, and \textit{intetion to use} components of TAM moderately well. \paragraph{Functionality} The library's feature-set was complimented during most interviews, with one participant noting that, although the overall number of features is relatively small, most of them are utilised in most cases. Similarly, the \texttt{utilities} submodule was appreciated for helping greatly in the interview task, but non-NLP researchers noted its likely inadequacy for their area. Still, they would like to see ``bundle'' or ``toolbox''-style modules for their fields because it would save them from a lot of copy-pasting. @@ -181,13 +182,15 @@ Secondly, the survey answers and, in general, the interviewees may be subject to \section{Future work} -The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. +The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{Available at \href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai} and \href{https://hub.docker.com/repository/docker/schmelczera/great-ai}{hub.docker.com/repository/docker/schmelczera/great-ai}.}. The library's main limitations come from its bias toward NLP deployments. This is not unreasonable given the design's explorative nature and the context of the case studies. Nevertheless, future work must focus on introducing and balancing support for many more fields' deployments. Although \textit{GreatAI} has already proved its utility, it has also shown that generalising and extending its functionality would be worthwhile. Therefore, many potential improvements are presented below, primarily from the needs arisen during the exit interviews. -\subsection{More AI/ML fields} +\subsection{More ML fields} -The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data, while the latter gives robust feature extraction support for only textual input. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview of them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for counteracting the NLP bias. Hence, widely expanding the scope of applicability of \textit{GreatAI}. As we have seen in Section \ref{section:architecture}, the architecture is otherwise adequately general; therefore, incremental extensions can be applied. +The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data (which caters to textual and tabular data), while the latter gives robust feature extraction support only for textual input. However, sound, image, and video are also widely taken as input. Furthermore, with the rise of multimodal models \cite{gao2020survey}, even different combinations of them may be simultaneously taken as input. + +Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview of them on the Dashboard's traces table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for counteracting the NLP bias. Hence, widely expanding the scope of applicability of \textit{GreatAI}. As we have seen in Section \ref{section:architecture}, the architecture is otherwise adequately general; therefore, incremental extensions can be applied. \subsection{More best practices} diff --git a/docs/thesis/chapters/appendix.tex b/docs/thesis/chapters/appendix.tex index 765c6b5..9c66ead 100644 --- a/docs/thesis/chapters/appendix.tex +++ b/docs/thesis/chapters/appendix.tex @@ -24,9 +24,9 @@ Similarly to the approach of \cite{serban2020adoption}, participants are asked a \item Support asynchronous top-down chaining of models \end{enumerate} -\chapter{Technology acceptance model questionnaire} \label{appendix:questions} +\chapter{TAM questionnaire} \label{appendix:questions} -Following the methodology for parsimonious TAM of Wu et al. \cite{wu2011user}, each statement can be rated on a 7-point Likert scale. +Following the methodology for the parsimonious technology acceptance model of Wu et al. \cite{wu2011user}, each statement can be rated on a 7-point Likert scale. 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z<($5{Xe-&mg!r}vuzt&jEzRrvr@193%d_Mg8)ho{v*Z8#pr>(097Ex-;QoORDi?U= zVg8uVj11KE*Ed`KjAH)?oFar6h+uxf_;n?eLz~%~y0|)<8MUpzsg Date: Sun, 11 Sep 2022 19:37:20 +0200 Subject: [PATCH 18/31] Clarify some phrasing in the thesis --- docs/thesis/chapters/0_abstract.tex | 8 ++--- docs/thesis/chapters/1_introduction.tex | 6 ++-- docs/thesis/chapters/2_background.tex | 4 +-- docs/thesis/chapters/4_design.tex | 8 ++--- docs/thesis/chapters/5_cases/naive-bayes.tex | 8 ++--- docs/thesis/chapters/5_cases/scibert.tex | 36 ++++++++++---------- docs/thesis/chapters/6_results.tex | 8 ++--- docs/thesis/main.tex | 1 - 8 files changed, 37 insertions(+), 42 deletions(-) diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index 96bd4f3..e70fe76 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -1,18 +1,18 @@ \begin{abstract} \absdiv{Background} -Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of libraries that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI applications is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. +Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of libraries that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI applications is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI, case studies and developer surveys have found that many deployments do not follow best practices. \absdiv{Objective} -This thesis investigates the causes of and a possible resolution to the asymmetry between the adoption of libraries for applying and deploying AI. The potential solution is validated through designing a software framework, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. +This thesis investigates the causes of and designs a possible solution to the asymmetry between the adoption of libraries for \textit{applying} and those for \textit{deploying} AI. The potential solution is validated through designing a software framework called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of earlier similar tools e.g., \textit{Seldon Core}, \textit{AWS SageMaker}, and \textit{TensorFlow Extended}. \absdiv{Methods} \textit{GreatAI} serves as a proxy for exploring the proposed design decisions; moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is validated by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its applicability and generalisability. \absdiv{Results} -\textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated overwhelmingly positively in both dimensions. +\textit{GreatAI} helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. Feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated quite positively in both dimensions. \absdiv{Conclusions} -Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. Additionally, the created software was deemed effective by experts and a candidate for raising awareness about the utility of following best practices. +Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. While \textit{GreatAI} focuses on NLP, the results show that the development and deployment of trustworthy AI pipelines, in general, can be assisted by frameworks prioritising easy adoption while still streamlining the implementation of various best practices. \end{abstract} diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index c03b27c..46ccebe 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -1,6 +1,6 @@ \chapter{Introduction} -Artificial intelligence (AI) techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. +Artificial intelligence (AI) techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter radically lowers the barrier of entry for applying AI --- and with that --- can help use cases in various areas. However, to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as essential as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. @@ -8,7 +8,7 @@ Concerningly, a peculiar tendency seems to be unfolding: even though industry pr This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks to achieve some level of automation and maturity in their deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. -Therefore, a software framework --- called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} --- is designed, and its design is presented in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. +Therefore, we design a software framework called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} and present it in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the natural language processing (NLP) pipeline for a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. @@ -16,7 +16,7 @@ The choice of case study subject is no coincidence; while working on the Scoutin \section{Research questions} -I hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. +We hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. \begin{rqlist} \item To what extent does the complexity of deploying AI hinder industrial applications? diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 7f46f3c..37ddcb1 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -6,9 +6,9 @@ In the following, the context of the problem is presented from three perspective \section{Accessible AI} \label{section:accessible-ai} -Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries. For example, let us consider the domain of natural language processing. There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. +Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries, many of which provide reusable models. For example, let us consider the domain of natural language processing. There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. -It is not just these two packages, the list of readily available tools is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. +It is not just these two libraries, the list of readily available solutions is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. \section{State of the industry} \label{section:industry} diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index c2e4541..45b7443 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -24,9 +24,7 @@ The best practices (which are referenced throughout the thesis) with which the d \paragraph{General} Albeit not explicitly in the list of best practices, compatibility is vital in encouraging adoption. Large projects frequently end up depending on numerous packages, each of which may impose some restrictions on the code: since these all have to be satisfied simultaneously, this can result in severe constraints. -The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least four popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. - -The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python, so implementing the library in it should not significantly limit its applicability. +The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least four popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. On the contrary, the programming language (PL) of the library may be its only non-general property. Fortunately, the de facto PL for data science is Python, so implementing the library in it should not significantly limit its applicability. \paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as practicable. \textit{GreatAI} should support its clients in this. @@ -40,7 +38,7 @@ The requirements were chosen stemming from their general importance and potentia \section{Design principles} \label{section:principles} -Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{\textit{Write programs to work together} is also applicable since allowing interoperability is part of the core requirements.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. +Before diving into the concrete issues being solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{\textit{Write programs to work together} is also applicable since allowing interoperability is part of the core requirements.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. @@ -72,7 +70,7 @@ Once again, we might notice two competing interests: the level of detail and the A large portion of software documentations is automatically generated from source code, and this has the advantage of always keeping it in sync with code changes. However, it might also signal that the API is too large because it is inconvenient for the developers to document it by hand. Striking the right balance between handcrafted and automatically extracted documentation may be a vital component of good documentation. -When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. Take the example of another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but I argue that the DX could be improved by displaying where to start more prominently. +When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. Take the example of another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but we argue that the DX could be improved by displaying where to start more prominently. \subsection{Developer experience} diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 772a00a..1b2dad7 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -117,7 +117,7 @@ The obstacles coming from the intertwined nature of different models are widely We must address two data storage needs: training data and trained models. Proper version control is one of the most basic expectations for commercial codebases. Based on developer surveys, it is likely that our code is already tracked under Git and synchronised with GitHub\footnote{\href{https://octoverse.github.com/\#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{octoverse.github.com}}. Therefore, using Git Large File Storage (LFS) might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to delete the entire repository\footnote{\href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage\#git-lfs-objects-in-your-repository}{docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage}}. -An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. +An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then we highly recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, we present a simpler solution. The complexity of an API can be decreased by relying on its users' preexisting knowledge, and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface; however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, and automatically deleting old remote versions are all present and come with recommended --- but easy to see and change --- configuration. @@ -127,7 +127,7 @@ Easing development is not merely about automating everything but also about maki It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, and robustly lemmatising are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. -This is exactly the motivation behind \texttt{great\_ai.utilities}. Extra care has to be taken not to overfit these utilities on the cases considered in this chapter; however, I believe these are versatile enough to be helpful in many text-related contexts. A conclusive answer to this assumption will be found during the interviews. +This is exactly the motivation behind \texttt{great\_ai.utilities}. Extra care has to be taken not to overfit these utilities on the cases considered in this chapter; however, we believe these are versatile enough to be helpful in many text-related contexts. A conclusive answer to this assumption will be found during the interviews. Implementing the unit tests uncovered multiple edge cases and even runtime errors; hence, the merit of \textit{Test all Feature Extraction Code} best practice is unequivocal. There is one more best practice that could be partially covered here, especially because its solution also helps both during batch inference but also at training/feature extraction time: \textit{Enable Parallel Training Experiments}. @@ -136,7 +136,7 @@ A function called \texttt{parallel\_map()} is implemented which closely mimics t \subsection{Deployment approach} Some of the expectations one might have for data-intensive (such as AI) software are similar to that for software in general. These are also captured by the best practices: \textit{Use Continuous Integration}, \textit{Automate Model Deployment}, and \textit{Enable Automatic Roll Backs for Production Model} to name a few. It is important to notice that these have already been solved by software engineering, more specifically, by the DevOps paradigm \cite{leite2019survey}. -In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, I suggest we wrap the applications in a format more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications; thus, allowing them to reuse those for AI applications seems to be the most convenient approach. +In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, we suggest wrapping the applications in a format more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications; thus, allowing them to reuse those for AI applications seems to be the most convenient approach. Based on personal experiences, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. @@ -158,7 +158,7 @@ def greeter(name: str) -> str: \label{listing:hello-world} \end{listing} -The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. +The main advantage of the wrapping approach is that it does not require any input from the clients (by default). We opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. \begin{listing} diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 0243234..4af6e2f 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -3,7 +3,7 @@ The ScoutinScience Dashboard contains a full-page evaluation view for academic publications. On this, the known metadata, historical trends about the paper's topics, social media mentions, a PDF viewer showing the document, and other augmentation tools are displayed. One of these is the \textit{Highlights} section, which aims to summarise the paper from a technology-transfer perspective. -The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended with the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but inadequate for providing an accurate overview. Thus, this is the baseline I attempt to improve on in this section. +The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended with the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but inadequate for providing an accurate overview. Thus, this is the baseline we attempt to improve on in this section. \begin{displayquote} Compared with Section \ref{section:simple-case}, this time around, the toolset of \textit{GreatAI} is available at our disposal. Hopefully, this will streamline the development and --- especially --- the deployment. Given its arguably higher complexity, the experiment falls closer to industrial use cases and hence, can give more accurate feedback on how to further improve the API. @@ -61,22 +61,6 @@ The best validation results were achieved after eight epochs which is slightly m \label{fig:scibert-confusion} \end{figure} -\begin{table} -\centering -\begin{threeparttable} -\caption{Accuracty metrics of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} -\label{table:scibert-pr} -\setlength{\tabcolsep}{0.75em} % for the horizontal padding -{\renewcommand{\arraystretch}{1.2} % for the vertical padding -\begin{tabular}{|l|r|r|r|} -\hline -{} & \textbf{Precision} & \textbf{Recall} & \textbf{Support} \\\hline -\textsc{non-relevant} & 0.93 & 0.83 & 191 \\\hline -\textsc{relevant} & 0.73 & 0.88 & 109 \\\hline -\end{tabular}} -\end{threeparttable} -\end{table} - Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the relevant (summary candidate) sentences are supposed to reflect the same aspect of papers, we can reasonably expect some correlation between the grades and relevant sentence counts. Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. This dataset does not overlap with the training data; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences chosen by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. @@ -89,6 +73,22 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr \label{fig:histograms} \end{figure} +\begin{table}[H] + \centering + \begin{threeparttable} + \caption{Accuracty metrics of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} + \label{table:scibert-pr} + \setlength{\tabcolsep}{0.75em} % for the horizontal padding + {\renewcommand{\arraystretch}{1.2} % for the vertical padding + \begin{tabular}{|l|r|r|r|} + \hline + {} & \textbf{Precision} & \textbf{Recall} & \textbf{Support} \\\hline + \textsc{non-relevant} & 0.93 & 0.83 & 191 \\\hline + \textsc{relevant} & 0.73 & 0.88 & 109 \\\hline + \end{tabular}} + \end{threeparttable} +\end{table} + \subsection{Deployment} To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. @@ -145,7 +145,7 @@ Even though the REST API of \textit{GreatAI} services exposes all necessary feat \begin{figure} \centering - \includegraphics[width=1\linewidth]{figures/greatai-header.png} + \includegraphics[width=1\textwidth]{figures/greatai-header.png} \captionsetup{width=.9\linewidth} \caption{The header of the automatically generated dashboard of the service from Section \ref{section:simple-case}. A generated documentation is shown on the left, while the histogram of response times is rendered on the right. The current configuration is prominently displayed on the bottom.} \label{fig:greatai-header} diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index b8e6a02..4cdb344 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -168,7 +168,7 @@ During the larger discussions, \textit{GreatAI} was deemed appropriate for aware My overall takeaway from this is that most features were well-received, and the high mean value of \textit{perceived utility} is credible. The criticism of being NLP-centric is also justified: the initial scope of the proof-of-principle framework was limited to this domain. Nonetheless, learning the experts' opinion that they wish to have a similarly specific solution to their problem contexts is reassuring because it proves that the API is not only generalisable but is expected to be generalised. At the same time, it is crucial to admit that no one-size-fits-all solution can exist for such a diverse domain. Therefore, allowing customizability and easy extension of the system must remain central design questions. -Regarding the API's level of abstraction, I have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. At the same time, the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}. For instance, Hugging Face \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users are not expected to tackle. +Regarding the API's level of abstraction, we have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. At the same time, the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}. For instance, Hugging Face \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users are not expected to tackle. In order to reach its goal of improving best practice adoption, \textit{GreatAI} can help raise awareness by presenting a verifiable value proposition, i.e. a couple of lines of code can already result in more maintainable, robust, high-quality deployments. This might prompt users or technical decision-makers to invest more in software engineering in AI/ML projects. Additionally, it can help the effectiveness of AI/software engineers by handling the grunt work of implementing some best practices, leaving them with more resources to focus on the complex and creative aspects of \textit{GREAT} deployments. @@ -194,10 +194,8 @@ Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving t \subsection{More best practices} -In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined, multi-level schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents; however, if there is some existing database in the environment, storing Traces in that can be favourable. \href{https://www.postgresql.org/}{PostgreSQL} is a popular choice, and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. +In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents; however, if there is some existing database in the environment, storing Traces in that can be favourable. \href{https://www.postgresql.org/}{PostgreSQL} is a popular choice, and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. -As described in Designing Data-intensive Applications \cite{kleppmann2017designing}, services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems). As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. - -Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. +Data-intensive services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems) \cite{kleppmann2017designing}. As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. Moreover, some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. The common theme among the opportunities mentioned above is that they could be implemented reasonably well without any user input, which aligns with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} already allows anyone to provide support for a wide range of integrations. Additionally, the scope could be reasonably extended, i.e. more practices could be incorporated by including more criteria next to the \textit{GREAT} ones. diff --git a/docs/thesis/main.tex b/docs/thesis/main.tex index 5010bb9..69bafa0 100644 --- a/docs/thesis/main.tex +++ b/docs/thesis/main.tex @@ -144,7 +144,6 @@ \fi} \makeatother - \begin{document} \includepdf[pages=-]{frontpage/frontpage.pdf} From ec64a0b5f1a6a89ca2e53d07fdda1893f33d650b Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 17 Sep 2022 20:19:23 +0200 Subject: [PATCH 19/31] Raise error instead of trying to fix bad names. Thanks for the advice, @radl97 --- great_ai/large_file/large_file/large_file_base.py | 8 +++++++- great_ai/large_file/large_file/large_file_mongo.py | 2 +- great_ai/large_file/large_file/large_file_s3.py | 2 +- tests/large_file/test_large_file.py | 14 ++++++++++++++ 4 files changed, 23 insertions(+), 3 deletions(-) diff --git a/great_ai/large_file/large_file/large_file_base.py b/great_ai/large_file/large_file/large_file_base.py index 005f185..64138c5 100644 --- a/great_ai/large_file/large_file/large_file_base.py +++ b/great_ai/large_file/large_file/large_file_base.py @@ -64,7 +64,13 @@ class LargeFileBase(ABC): keep_last_n: Optional[int] = None, cache_only_mode: bool = False, ): - self._name = re.sub(r"[^a-zA-Z0-9._-]+", "", name) + clean_name = re.sub(r"[^!a-zA-Z0-9._-]+", "", name) + if clean_name != name: + raise ValueError( + f"Given name contains illegal characters, consider changing it to: `{clean_name}`" + ) + + self._name = name self._version = version self._mode = mode self._keep_last_n = keep_last_n diff --git a/great_ai/large_file/large_file/large_file_mongo.py b/great_ai/large_file/large_file/large_file_mongo.py index 3cbb9c0..3bed0a1 100644 --- a/great_ai/large_file/large_file/large_file_mongo.py +++ b/great_ai/large_file/large_file/large_file_mongo.py @@ -44,7 +44,7 @@ class LargeFileMongo(LargeFileBase): def _client(self) -> GridFSBucket: if self.mongo_connection_string is None or self.mongo_database is None: raise ValueError( - "Please configure the MongoDB access options by calling LargeFileMongo.configure_credentials or set offline_mode=True in the constructor." + "Please configure the MongoDB access options by calling LargeFileMongo.configure_credentials or set cache_only_mode=True in the constructor." ) db: Database = MongoClient(self.mongo_connection_string)[self.mongo_database] diff --git a/great_ai/large_file/large_file/large_file_s3.py b/great_ai/large_file/large_file/large_file_s3.py index eb2a307..119caa8 100644 --- a/great_ai/large_file/large_file/large_file_s3.py +++ b/great_ai/large_file/large_file/large_file_s3.py @@ -56,7 +56,7 @@ class LargeFileS3(LargeFileBase): or self.bucket_name is None ): raise ValueError( - "Please configure the S3 access options by calling LargeFileS3.configure_credentials or set offline_mode=True in the constructor." + "Please configure the S3 access options by calling LargeFileS3.configure_credentials or set cache_only_mode=True in the constructor." ) return boto3.client( diff --git a/tests/large_file/test_large_file.py b/tests/large_file/test_large_file.py index 87571fa..9afc615 100644 --- a/tests/large_file/test_large_file.py +++ b/tests/large_file/test_large_file.py @@ -24,6 +24,20 @@ def test_uninitialized() -> None: LargeFileS3("test-file") +def test_bad_file_name() -> None: + with pytest.raises(ValueError): + LargeFileS3("../no-no", cache_only_mode=True) + + with pytest.raises(ValueError): + LargeFileS3("is this wrong?", cache_only_mode=True) + + with pytest.raises(FileNotFoundError): + LargeFileS3("!378378_fer-ef", cache_only_mode=True) # this should work + + with pytest.raises(FileNotFoundError): + LargeFileS3("3", cache_only_mode=True) # this should work + + def test_bad_file_modes() -> None: with pytest.raises(ValueError): LargeFileS3("test-file", "w", version=3) From 83b5db48606280da6accda5927e40cc02b6f37de Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sat, 17 Sep 2022 20:19:37 +0200 Subject: [PATCH 20/31] Stop opening too many terminals --- .vscode/tasks.json | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/.vscode/tasks.json b/.vscode/tasks.json index 2d97920..e78ee00 100644 --- a/.vscode/tasks.json +++ b/.vscode/tasks.json @@ -11,7 +11,8 @@ "group": "test", "presentation": { "reveal": "always", - "panel": "new" + "showReuseMessage": false, + "panel": "shared" }, "options": { "cwd": "${workspaceFolder}" @@ -27,7 +28,8 @@ "group": "test", "presentation": { "reveal": "always", - "panel": "new" + "showReuseMessage": false, + "panel": "shared" }, "options": { "cwd": "${workspaceFolder}" @@ -43,7 +45,8 @@ "group": "test", "presentation": { "reveal": "always", - "panel": "new" + "showReuseMessage": false, + "panel": "shared" }, "options": { "cwd": "${workspaceFolder}" From 790db8bb4046ca73721d8278e58539496d24cd09 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 18 Sep 2022 15:53:11 +0200 Subject: [PATCH 21/31] Refine and clarify the content --- docs/thesis/chapters/0_abstract.tex | 8 +- docs/thesis/chapters/1_introduction.tex | 8 +- docs/thesis/chapters/2_background.tex | 54 ++++--- docs/thesis/chapters/3_methods.tex | 22 ++- docs/thesis/chapters/4_design.tex | 34 ++--- docs/thesis/chapters/5_cases/main.tex | 8 +- docs/thesis/chapters/5_cases/naive-bayes.tex | 61 ++++---- docs/thesis/chapters/5_cases/scibert.tex | 140 +++++++++---------- docs/thesis/chapters/6_results.tex | 42 +++--- docs/thesis/chapters/7_conclusion.tex | 12 +- docs/thesis/figures/dashboard-domains.png | Bin 67446 -> 276535 bytes docs/thesis/frontpage/frontpage.pdf | Bin 103746 -> 103587 bytes docs/thesis/frontpage/frontpage.tex | 2 +- docs/thesis/main.tex | 2 +- docs/thesis/ref.bib | 15 ++ 15 files changed, 207 insertions(+), 201 deletions(-) diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index e70fe76..a7d61c7 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -4,15 +4,15 @@ Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of libraries that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI applications is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI, case studies and developer surveys have found that many deployments do not follow best practices. \absdiv{Objective} -This thesis investigates the causes of and designs a possible solution to the asymmetry between the adoption of libraries for \textit{applying} and those for \textit{deploying} AI. The potential solution is validated through designing a software framework called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of earlier similar tools e.g., \textit{Seldon Core}, \textit{AWS SageMaker}, and \textit{TensorFlow Extended}. +This thesis investigates the causes of and presents a possible solution to the asymmetry between the adoption of libraries for \textit{applying} and those for \textit{deploying} AI. The potential solution is validated through designing a software framework called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of earlier similar tools e.g., \textit{Seldon Core}, \textit{AWS SageMaker}, and \textit{TensorFlow Extended}. \absdiv{Methods} -\textit{GreatAI} serves as a proxy for exploring the proposed design decisions; moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is validated by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its applicability and generalisability. +\textit{GreatAI} serves as a proxy for exploring the proposed design decisions; moreover, its initial focus is limited to the domain of natural language processing (NLP). Its design is created by applying the principles of design science methodology through iteratively shaping it in two case studies of a commercial NLP pipeline. Subsequently, interviews are conducted with ten practitioners to assess its applicability and generalisability. \absdiv{Results} -\textit{GreatAI} helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. Feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated quite positively in both dimensions. +\textit{GreatAI} helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. Feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies, and the proposed framework was rated positively in both dimensions. \absdiv{Conclusions} -Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. While \textit{GreatAI} focuses on NLP, the results show that the development and deployment of trustworthy AI pipelines, in general, can be assisted by frameworks prioritising easy adoption while still streamlining the implementation of various best practices. +Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. While \textit{GreatAI} mainly focuses on NLP, the results show that the development and deployment of trustworthy AI services, in general, can be assisted by frameworks prioritising easy adoption while still streamlining the implementation of various best practices. \end{abstract} diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index 46ccebe..8a4a40f 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -2,7 +2,7 @@ Artificial intelligence (AI) techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter radically lowers the barrier of entry for applying AI --- and with that --- can help use cases in various areas. -However, to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as essential as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. +However, to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as essential as ever to also focus on the quality of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments does not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them correctly is as intricate and nuanced as ever. @@ -10,13 +10,13 @@ This thesis sets out to investigate the reasons behind the apparent asymmetry be Therefore, we design a software framework called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} and present it in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. -The utility of \textit{GreatAI} is validated using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in a case study concerning the natural language processing (NLP) pipeline for a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. +The utility of \textit{GreatAI} is examined and refined using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in two case studies concerning the natural language processing (NLP) pipeline of a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the broader applicability and generalisability of the design. The choice of case study subject is no coincidence; while working on the ScoutinScience platform for the last two years, my colleagues and I have increasingly noticed the same recurring challenges in deploying and operating AI/ML pipelines. This has motivated me to pursue a general solution. Considering that the company's predominant field is NLP, the case studies, and hence, the prototype of \textit{GreatAI} will also focus primarily on deploying NLP models. Nonetheless, the motivation for creating a general solution for all AI/ML contexts remains and will be taken into account every step of the way. \section{Research questions} -We hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. +We hypothesise that facilitating the adoption of AI deployment best practices is viable by finding less complex framework\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.} designs that are easier to adopt in order to decrease the negative externality of misused AI. This paper investigates the hypothesis by answering the following research questions. \begin{rqlist} \item To what extent does the complexity of deploying AI hinder industrial applications? @@ -31,4 +31,4 @@ The existence question regarding the problem itself (\textbf{RQ1}) is answered b \section{Structure} -The rest of the thesis is organised as follows: Chapter \ref{chapter:background} approaches the problem and the state-of-the-art from three perspectives: the recent trends of AI-library API designs, the experiences gained from practical applications, and a comparison of existing deployment options. Next, the methodology utilised for the subsequent chapters is described in Chapter \ref{chapter:methods}. The design cycle is broken into two chapters, Chapter \ref{chapter:design} and \ref{chapter:case}. The former clarifies the scope and describes the design principles, while the latter details the specifics of the practical case study and the framework's interaction with it. The contributions of the novel design and obtained results are shown and further validated by conducting interviews with industry professionals in Chapter \ref{chapter:interviews}. The thesis is concluded in Chapter \ref{chapter:conclusion}. +The rest of the thesis is organised as follows: Chapter \ref{chapter:background} approaches the problem and the state-of-the-art from three perspectives: the recent trends of AI-library API designs, the experiences gained from practical applications, and a comparison of existing deployment options. Next, the methodology utilised for the subsequent chapters is described in Chapter \ref{chapter:methods}. The design cycle is broken into two chapters, Chapter \ref{chapter:design} and \ref{chapter:case}. The former clarifies the scope and describes the design principles, while the latter details the specifics of the practical case studies and the framework's interaction with them. The contributions of the novel design and obtained results are shown and further validated by conducting interviews with industry professionals in Chapter \ref{chapter:interviews}. The thesis is concluded in Chapter \ref{chapter:conclusion}. diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 37ddcb1..25220d5 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -2,13 +2,13 @@ Despite the long-standing history of artificial intelligence, industry awareness and adoption have only recently started to catch up meaningfully \cite{wirtz2019artificial}. At the same time, more regulations and guidelines are being published, for instance, the Ethics guidelines for trustworthy AI by the European Commission's High-Level Expert Group on AI\footnote{\href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}}. This contains seven key requirements, including human agency and oversight, technical robustness, safety, transparency, and accountability. When it comes to accountability, clear advances are being made \cite{raji2020closing}; however, in the case of the other requirements, the situation is more nuanced. Thankfully, the field of software engineering for machine learning (SE4ML)\footnote{Both in practice and literature, this is sometimes also referred to as \textit{AI Engineering} and has a large intersection with, or arguably is the same as, \textit{MLOps}.} has been working towards finding ways to assist data scientists and software engineers in ensuring these (and more) expectations are met by their software. -In the following, the context of the problem is presented from three perspectives. Starting with its possible cause: the democratisation of state-of-the-art AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI. However, most modern AI applications are also ML applications, hence, conflating the two terms may be slightly imprecise but usually not wrong.} architectures and models. Subsequently, the challenges encountered when applying AI in practice are outlined by case studies and survey data. Lastly, the existing approaches and solutions are introduced. +In the following, the context of the problem is presented from three perspectives. Starting with its possible cause: the democratisation of state-of-the-art AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI. However, most modern AI applications are also ML applications \cite{russell2010artificial}, hence, conflating the two terms may be slightly imprecise but usually not wrong.} architectures and models. Subsequently, the challenges encountered when applying AI in practice are outlined by case studies and survey data. Lastly, the existing approaches and solutions are introduced. \section{Accessible AI} \label{section:accessible-ai} -Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries, many of which provide reusable models. For example, let us consider the domain of natural language processing. There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access the state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables developers to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. +Most companies prefer not to develop new models but instead reuse prior ones \cite{bosch2021engineering}, and they are able to do so increasingly easily. In recent years, there has been a proliferation of highly accessible AI-libraries, many of which provide reusable models. For example, let us consider the domain of natural language processing. There are various options for finding AI solutions that work out of the box: FLAIR \cite{akbik2019flair} and Hugging Face's transformers \cite{wolf2019huggingface} let developers access state-of-the-art models and methods in only a couple of lines of code (in many cases 2 or 3). Using transfer-learning, Hugging Face enables its users to leverage vast amounts of knowledge learned by pretrained models (such as BERT \cite{devlin2018bert} and its many improved variations) and fine-tune them for their specific use case. The API exposing this is also extremely accessible. -It is not just these two libraries, the list of readily available solutions is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, and scikit-learn \cite{pedregosa2011scikit}, XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. +It is not just these two libraries, the list of readily available solutions is vast: SpaCy \cite{srinivasa2018natural}, Gensim \cite{vrehuuvrek2011gensim}, scikit-learn \cite{pedregosa2011scikit}, and XGBoost \cite{Chen_2016} are other great examples. The situation is similar in all subdomains of artificial intelligence: some domain expertise is --- admittedly --- beneficial but not a hard-requirement. This, combined with the exponentially increasing computing power affordably available to consumers and businesses alike \cite{sun2019summarizing}, results in AI that is accessible by many. \section{State of the industry} \label{section:industry} @@ -20,13 +20,9 @@ Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING, a well-known f In a case study at Microsoft, Amershi et al. \cite{amershi2019software} interviewed 14 people and surveyed another 551 AI and ML professionals from the company. One of the main concerns surfaced was relating to automation which is a vital cross-cutting concern, especially for testing. At the same time, a human-in-the-loop is still favoured. The survey data pointed out the difficulty posed by integrating AI, especially in the case of less experienced respondents. This was elaborated on by describing the preferences of software engineers as striving for elegant, abstract, modular, and simple systems; in contrast, data tends to be of large volume, context-specific and heterogeneous. Reconciling these inherent differences requires significant effort. Nevertheless, Microsoft manages to overcome this with a highly sophisticated internal infrastructure. -Using AI is not unique to large corporations; in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee explained: some steps are left out from time to time because they are forgotten. +Using AI is not unique to large corporations; in a study conducted with the collaboration of three startups \cite{de2019understanding}, the aim was to fill in the gap of understanding how professionals develop ML systems in small companies. Overall, the results showed they have similar priorities to that of large companies, including an emphasis on the online monitoring of deployed models. However, less structure is present in the development lifecycle, as one interviewee explained: some steps are left out from time to time because they are forgotten. Similarly, Thiée \cite{thiee2021systematic} described the slow but ever-growing rate of ML adoption by small and medium-sized enterprises (SMEs). With the caveat that many more of these companies would wish to adopt data-driven approaches but are facing new challenges stemming from the domain's complexity. -Similarly, Thiée \cite{thiee2021systematic} described the slow but ever-growing rate of ML adoption by small and medium-sized enterprises (SMEs). With the caveat that many more of these companies would wish to adopt data-driven approaches but are facing new challenges stemming from the domain's complexity. - -Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance for each. For example, they determined the most important best practice to be \textit{logging production prediction traces}; however, the adoption was measured to be below 40\%. In more than three-quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. - -Furthermore, Serban et al., in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI, mainly through data governance. They strove to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern: most best practices have less than 50\% adoption. +Serban et al. \cite{serban2020adoption,serban2021practices} described the results of their global surveys aiming to ascertain the SOTA in how teams develop, deploy, and maintain ML systems. In \cite{serban2020adoption}, they compiled a set of 29 actionable best practices. These were analysed and validated with a survey of 313 participants to discover the adoption rate and relative importance of each. For example, they determined the most important best practice to be \textit{logging production prediction traces}; however, the adoption was measured to be below 40\%. In more than three-quarters of the cases, newcomers to AI reported that they \textit{partially} or \textit{not at all} follow best practices. This tendency decreases with more years of experience, reaching a maximum adoption rate of just above 60\%. Furthermore, Serban et al., in \cite{serban2021practices}, identified another 14 best practices that concern trustworthy AI, mainly through data governance. They strove to complement high-level checklists with actionable best practices. Analysing 42 survey responses revealed a familiar pattern: most best practices had less than 50\% adoption. John et al. \cite{john2020architecting} compared and contrasted recent scientific and grey literature on AI deployments from which they extracted concrete challenges and practices. They also observed that most companies are placing many more models into production than in previous years. Additionally, they pointed out that numerous deployment techniques are absent from contemporary literature, which is speculated to be caused by the immaturity of deployment processes employed in academia. Because for instance, most models in scientific literature experience only initial deployment and are not constantly replaced or refreshed as their performance degrades over time. @@ -34,25 +30,9 @@ Finally, in a follow-up study to \cite{john2020architecting}, Bosch et al. \cite \section{Existing solutions} \label{section:existing} -From the previous section, it is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though the authors note that this solution still has shortcomings in the form of rigidity (number of supported libraries and model types), it also allows for the easy extension of the system. +It is noticeable that given enough resources and at the scale of 4195 AI professionals, Microsoft managed to create a comprehensive in-house solution. A similar impression is given by Uber \cite{li2017scaling}; they built a highly sophisticated infrastructure using techniques from distributed and high-performance computing. Though the authors note that this solution still has shortcomings in the form of rigidity (number of supported libraries and model types), it also allows for the easy extension of the system. Given the nature of the concerns and the amount of available resources, it is not surprising that both high-tech Fortune 500 companies needed to and did overcome the problems presented by deploying AI. We can learn from their approaches; nonetheless, using them may be infeasible for individuals and SMEs. Thus, the issues remain for the majority of practitioners. -Given the nature of the concerns and the amount of available resources, it is not surprising that both of these high-tech Fortune 500 companies needed to and did overcome the problems presented by deploying AI. We can learn from their approaches; nonetheless, using them may be infeasible for individuals and SMEs. Thus, the issues remain for the majority of practitioners. Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks\footnote{The terms \textit{framework} and \textit{library} will be used interchangeably in this work stemming from their vague and often holistic differentiation.}, and platforms is thriving. Additionally, there are a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. - -IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe. The challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. - -SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy, and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. - -When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for the SE4ML best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models\footnote{The Open Neural Network Exchange (\href{https://onnx.ai/}{onnx.ai}) format could be an option for overcoming these incompatibilities. However, wider support is needed for seamless integration.} or algorithms of other frameworks and technologies. - -Open-source platforms also exist, such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow emphasises the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features, including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes and relies on Helm, Ambassador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components; then, when it comes to model deployment, a Kubernetes configuration file must be created to use Seldon's Custom Resource Definition. These are minor obstacles if the project is already built on top of K8s; however, even then, software engineers with solid cloud and DevOps backgrounds are actively required to use Seldon Core. - -Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions, including those for embedded devices. They note the inefficiencies of these that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments, which can be used out-of-the-box but also lets users easily replace and extend its pipeline with steps to fit their changing needs and advancements in the field. - -At the same time, Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge computing. They also note that: \textit{``...there is a need to consider and adapt well-established software engineering practices which have been ignored or had a very narrow focus in ML literature''}. - -In summary, the issues expressed in Section \ref{section:industry} can be understood when looking at the available solutions. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. - -\begin{table} +\begin{table}[H] \centering \begin{threeparttable} \caption{High-level comparison of popular AI deployment platforms and libraries.} @@ -83,8 +63,24 @@ No DevOps dependencies\textsuperscript{4}& & & \end{threeparttable} \end{table} +Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks, and platforms is thriving. Additionally, there is a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. + +IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe: the challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. + +SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy, and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. + +When it comes to open-source libraries, we can find the MLOps libraries of both TensorFlow and PyTorch: TensorFlow Extended (TFX) \cite{baylor2017tfx} and TorchX\footnote{\href{https://pytorch.org/torchx/latest/}{pytorch.org/torchx/latest}}. TFX comes with a more mature set of features with the caveat that initial time investment is needed for their setup. The features of TorchX only concern the distributed deployment to a wide range of providers, including Kubernetes (K8s), AWS Batch, or Ray \cite{moritz2018ray}. There is no augmentation for most deployment best practices. Given the tight coupling between these libraries and their corresponding ML frameworks, they cannot generalise to models or algorithms of other frameworks and technologies. The Open Neural Network Exchange\footnote{\href{https://onnx.ai/}{onnx.ai}} format could be an option for overcoming these incompatibilities. However, wider support would be needed for seamless integration. + +Open-source platforms also exist, such as MLflow and Seldon Core. They both rely on Kubernetes to provide their features. MLflow emphasises the training phase (in deployment, it lacks a feedback loop which is essential for reaching many of the best practices), while Seldon Core focuses on the deployment stage. The latter comes integrated with a powerful explanation engine, Alibi Explain \cite{klaise2021alibi}. It also boasts the most comprehensive suite of features, including outlier detection, online model selection (with multi-armed bandit theory), and distributed tracing. + +In short, it seems to be the ideal candidate for the title of \textit{framework for robust end-to-end AI deployments}. Its only downside is the amount of complexity propagated to its clients: it is built on top of Kubernetes and relies on Helm, Ambassador/Istio, Prometheus, and Jaeger for its features. Hence, the first step in using it is setting up a K8s cluster with all the required components; then, when it comes to model deployment, a Kubernetes configuration file must be created to use Seldon's Custom Resource Definition. These are minor obstacles if the project is already built on top of K8s; however, even then, software engineers with solid cloud and DevOps backgrounds are actively required to use Seldon Core. + +Additionally, increasing attention is given to ML deployments in embedded systems both from a theoretical \cite{john2020ai} and practical \cite{prado2020bonseyes} point of view. Prado et al. \cite{prado2020bonseyes} survey the available deployment frameworks and end-to-end solutions, including those for embedded devices. They note the inefficiencies of these that come from the lack of features and too much rigidity. They introduce their framework for embedded AI deployments, which can be used out-of-the-box but also lets users easily replace and extend its pipeline to fit their changing needs and advancements in the field. + +At the same time, Meenu et al. \cite{john2020ai} present and compare different architectural choices for large-scale deployments in edge computing. They also note that: \textit{``...there is a need to consider and adapt well-established software engineering practices which have been ignored or had a very narrow focus in ML literature''}. In summary, the issues expressed in Section \ref{section:industry} can be understood when looking at the available solutions. + \section{Summary} -The surveys and case studies have shown the industry's continuous struggle to evolve prototypes into robust and responsible production-ready deployments. Simultaneously, platforms aiming to help overcome this challenge already exist but lack widespread adoption. The frequently recurring explanations for not adopting existing solutions surfaced in Section \ref{section:industry} revolve around their complexity and rigidity. These complaints are validated when looking at the available frameworks in Section \ref{section:existing}. While using AI has become more accessible than ever, deploying remains challenging owing to the lack of any \textit{easy-to-adopt framework for robust end-to-end AI deployments}. +The surveys and case studies have shown the industry's continuous struggle to evolve prototypes into robust and responsible production-ready deployments. Simultaneously, platforms aiming to help overcome this challenge already exist but lack widespread adoption. The frequently recurring explanations for not adopting existing solutions surfaced in Section \ref{section:industry} revolve around their complexity and rigidity. These complaints are validated when looking at the available frameworks in Section \ref{section:existing}. While using AI has become more accessible than ever, deploying remains challenging owing to the lack of any easy-to-adopt framework for robust end-to-end AI deployments. -The coexistence of multiple major obstacles, along with their promised solutions and the lack of their widespread adoption, leads us to believe that current frameworks are inadequate for many contexts. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, Hugging Face, and similar libraries for the domain of AI/ML remains unmatched in the field of AI Engineering and MLOps. +The coexistence of multiple major obstacles, along with their promised solutions and the lack of their widespread adoption, leads us to believe that current frameworks are inadequate for many contexts, especially in cases where teams lack the background in cloud, operations, and more generally, software engineering. Thus, the answer to \textbf{RQ1} is that the complexity of deploying AI can severely hinder industrial applications even in the presence of existing frameworks. There is an unmet need for accessible AI deployment methods. The revolution brought by FLAIR, Hugging Face, and similar libraries for the domain of AI/ML remains unmatched in the field of AI Engineering and MLOps. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index 788e48d..25d6ab7 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -1,47 +1,45 @@ \chapter{Methods} \label{chapter:methods} -The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their context \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated, and its potential treatment is validated concurrently. This strategy seems fitting for our problem in consequence of its practical nature. +The chosen methodology for this study is Design Science which emphasises the need to design and investigate artifacts in their contexts \cite{wieringa2014design}. It consists of a design and an empirical cycle. The purpose of the former is to improve a problem context with a new or redesigned artifact, while in the latter, the problem is investigated, and its potential treatment is validated concurrently. This strategy seems fitting for our problem in consequence of its practical nature. The design cycle shares similarities with Action Research \cite{davison2004principles} in which researchers attempt to solve a real-world problem while simultaneously studying the experience of solving said problem. As for the empirical cycle, the pragmatist approach is taken since the value of this research lies in its utility. Moreover, pragmatism adopts an engineering approach to research \cite{shull2007guide}, which happens to be in line with the philosophy of design science. Additionally, as no research method is without flaws, it is imperative to try to compensate for their weaknesses by applying multiple methods. Hence, the study also relies on interviews with professionals to validate the design decisions and determine the generalisability of \textit{GreatAI}. \section{Design cycle} The aim of \textit{GreatAI} can be summarised using the terminology of design science in the following way: -\textit{Facilitate the easy adoption of AI deployment best practices +\textit{Facilitate the adoption of AI deployment best practices by finding a less complex framework design which is easier to adopt in order to decrease the negative externality of misused AI.} The problem context is the difficulty of responsibly transitioning (while following best practices) from prototype industrial AI applications to production-ready deployments. With the possible treatment being libraries with high-level APIs and a set of default settings. It is important to note that \textit{GreatAI} is merely a proof-of-concept, and its aim is to serve as a proxy for the design decisions behind it. Through this, the design can be indirectly evaluated. Hopefully, a by-product will be a library that can be effectively applied to this problem context. -The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform which aims to find tech-transfer opportunities in academic publications. The primary input of the system as a whole is PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. +The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform which aims to find tech-transfer opportunities in academic publications. The primary input of the system as a whole is a set PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. Overall, this problem context carries the properties of typical industry use cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on within their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. \begin{figure} \centering - \includegraphics[width=.85\linewidth]{figures/design-cycle.drawio.png} + \includegraphics[width=.9\linewidth]{figures/design-cycle.drawio.png} \captionsetup{width=.9\linewidth} - \caption{Implementation of the Design Cycle of design science \cite{wieringa2014design} for our problem context of AI/ML deployments. The thinner arrows denote smaller but more frequent iterations.} + \caption{Implementation of the design cycle of design science \cite{wieringa2014design} for our problem context of AI/ML deployments. The thinner arrows denote smaller but more frequent iterations.} \label{fig:design-cycle} \end{figure} The goal is to find a simpler, less cognitively-straining-to-use design that still leads to high-quality deployments, the definition of which will be described in Section \ref{section:requirements}. Before generalising, the framework's design is iteratively refined using the feedback acquired from applying it in practical contexts, which in this case are the research and development of a smaller and a more complex AI component using the work-in-progress framework. -The design cycle summarising the research approach is shown in Figure \ref{fig:design-cycle} indicating the role of the case studies. The concerns arisen in the \textit{Treatment validation} iterations and their short discussions are highlighted in the form of \textit{Design notes}. Afterwards, they are addressed in the following \textit{Treatment design} iteration. This way, the issues are immediately addressed and the proposed solutions can be traced back to the problems prompting their introduction. +The design cycle summarising the research approach is shown in Figure \ref{fig:design-cycle} indicating the role of the case studies. The concerns arisen in the \textit{Treatment validation} iterations and their short discussions are highlighted in the form of \textit{Design notes}. Afterwards, they are addressed in the following \textit{Treatment design} iteration. This way, the issues are immediately considered and the proposed solutions can be traced back to the problems prompting their introduction. \section{Applicability \& generalisability} \label{section:interview-setup} -To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. The interview candidates were recruited from the recommendations of my acquaintances, who were kindly asked to seek out people from their professional networks with any connection to AI/ML. After the first few interviews, participants were also asked to suggest other candidates, preferably from different subfields. After two iterations of reaching out to potential interviewees personally, ten engineers and researchers eventually responded positively and participated in the study. Albeit the sample size is small, it still represents a wide range of organisation types: experts were included from startups, consultancies, government organisations, and research companies. +To conclusively answer \textbf{RQ3} and \textbf{RQ4}, we conduct interviews with software engineers and data scientists with varying levels of professional background. The interview candidates were recruited from the recommendations of my acquaintances, who were kindly asked to seek out people from their professional networks with any connection to AI/ML. After the first few interviews, participants were also asked to suggest other candidates, preferably from different subfields. After two iterations of reaching out to potential interviewees personally, ten engineers and researchers eventually responded positively and participated in the study. Albeit the sample size is small, it still represents a wide range of organisation types: experts were included from startups, consultancies, government organisations, and research companies. First, before their interview, participants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. -The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world deployment task by finishing a partially completed example project\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}. The training part of the task has already been done, and the participants only have to deploy a trained classifier.} using \textit{GreatAI}. This is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. The interviews took approximately one and a half hours each. - -They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. +The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world deployment task by finishing a partially completed example project\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}. The training part of the task has already been done, and the participants only have to deploy the trained classifier.} using \textit{GreatAI}. This is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. The target duration for the interviews is approximately one and a half hours. -The guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} are followed for collecting information from interviews and reporting it. This reflexive, iterative process starts by recording participants (with their permission) and concurrent note-taking. Reflective journaling is immediately done post-interview, which is subsequently extended and revised by listening to the recordings. Afterwards, the gathered information is interpreted by applying the methodology of thematic analysis \cite{alhojailan2012thematic}. Thematic analysis is an iterative qualitative investigation technique consisting of labelling, correlating, and structuring the central recurring topics raised during discussions. It has been successfully used in previous software engineering studies for extracting emergent patterns \cite{haakman2021ai,cruz2019catalog}. +We follow the guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} for collecting information from interviews and reporting it. This reflexive, iterative process starts by recording participants (with their permission) and concurrent note-taking. Reflective journaling is immediately done post-interview, which is subsequently extended and revised by listening to the recordings. Afterwards, we interpret the gathered information by applying the methodology of thematic analysis \cite{alhojailan2012thematic}. Thematic analysis is an iterative qualitative investigation technique consisting of labelling, correlating, and structuring the central recurring topics raised during discussions. It has been successfully used in previous software engineering studies for extracting emergent patterns \cite{haakman2021ai,cruz2019catalog}. The second half of the one-on-one sessions consists of a short survey allowing us to create the Technology Acceptance Model (TAM) \cite{davis1989perceived} of the problem context. The ultimate goal of the presented library is to help increase the adoption rate of best practices. In order to reach that goal, first, the library itself has to gain adoption. TAM and its numerous variations provide means of measuring users' willingness of adopting new technologies. TAM has been widely applied in literature \cite{marangunic2015technology}, and due to its general psychological origins, it proves to be effective in other areas of technology, not just software \cite{riemenschneider2002explaining}. -The parsimonious version of TAM is employed, which has been measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): perceived usefulness, perceived ease of use, and intention to use. Participants are asked ten questions corresponding to these aspects of their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Cronbach's Alpha \cite{bland1997statistics}, after which the responses are reflected upon. +We employ the parsimonious version of TAM, which has been measured to have similar predictive power to that of the original TAM while having fewer variables \cite{wu2011user}. Parsimonious TAM observes three interconnected human aspects that influence the actual behaviour (adoption): \textit{perceived usefulness}, \textit{perceived ease of use}, and \textit{intention to use}. Participants are asked ten questions corresponding to these aspects of their experience using \textit{GreatAI}. The questionnaire is shown in Appendix \ref{appendix:questions}. The internal consistency of the answers is calculated using Cronbach's Alpha \cite{bland1997statistics}, after which we reflect on the responses. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 45b7443..41d20ff 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -1,12 +1,12 @@ \chapter{Designing the framework} \label{chapter:design} -Providing users with a high level of abstraction is not unheard of in the context of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we have discussed in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment-related concepts. +Providing users with a high level of abstraction is not unheard of in the context of practical AI/ML platforms. Many software-as-a-service products offer features for hiding the technicalities of machine learning. However --- as we discussed in Section \ref{section:existing} --- these tend to abstract away the details of both data science and AI engineering, overall hindering the development process. The design proposed here aims to tackle and simplify only the deployment-related concepts. \section{Scope} \label{section:scope} As highlighted by several case studies in Chapter \ref{chapter:background}, the transition from prototypes to production-ready systems is often named as the source of unexpected struggle. Maybe it is not a coincidence that a significant portion of the SE4ML best practices should be implemented in this phase. Unfortunately, it is easy to gloss over them while tackling the underestimated difficulties of this \textit{transition}. Therefore, the aim of \textit{GreatAI} is to ease this step of the lifecycle. Consequently, its scope is limited to the \textit{transition} step. -There have been attempts that at least partially address this issue; however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. The scope has to be well-defined and limited to provide the best chance of providing an easy-to-adopt solution. To understand the API of a library, users first need to understand its aim and surface and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. +There have been attempts that at least partially address this issue; however, as we saw in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. The scope has to be well-defined and limited to provide the best chance of providing an easy-to-adopt solution. To understand the API of a library, users first need to understand its aim and surface and have to become familiar with the problems it solves. Thus, limiting the focus solely to the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. \begin{figure} \centering @@ -16,7 +16,7 @@ There have been attempts that at least partially address this issue; however, as \label{fig:scope} \end{figure} -It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a \textit{GREAT} service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or the organisation's existing software deployment setup. +It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a \textit{GREAT} service and materialised as a common software artifact implementing best practices. Then, it is either deployed using a deployment SaaS or the organisation's existing software deployment setup. \section{Requirements} \label{section:requirements} @@ -26,29 +26,31 @@ The best practices (which are referenced throughout the thesis) with which the d The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least four popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. On the contrary, the programming language (PL) of the library may be its only non-general property. Fortunately, the de facto PL for data science is Python, so implementing the library in it should not significantly limit its applicability. -\paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as practicable. \textit{GreatAI} should support its clients in this. +\paragraph{Robustness} In software development, robustness can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as practicable. \textit{GreatAI} should support its clients in this. \paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the system's real-world performance, which should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real life and can become outdated if they are not revised continuously. A well-packaged deployment should make it trivial to integrate new training data. \paragraph{Automated} The available time of data scientists and software engineers is limited and expensive. For this reason, humans should only be involved when their involvement is necessary. Steps in the development process that can be automated without negative consequences must be automated in order to achieve efficient development processes and let the experts focus on the issues that require their attention the most. -\paragraph{Trustworthy} As detailed by the \href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{\textit{Ethics guidelines for trustworthy AI}}, human oversight, transparency, and accountability are some of the key requirements for trustworthy AI applications. For increasing public acceptance and trust while minimising negative societal impact, trustworthiness is essential. +\paragraph{Trustworthy} As detailed in the \href{https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai}{\textit{Ethics guidelines for trustworthy AI}}, human oversight, transparency, and accountability are some of the key requirements for trustworthy AI applications. For increasing public acceptance and trust while minimising negative societal impact, trustworthiness is essential. -The requirements were chosen stemming from their general importance and potential to be mostly handled (implemented) by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. +The requirements were chosen stemming from their general importance and potential to be mostly implemented by a software framework. That is why these provide an ideal initial direction for tackling the issue. Of course, these do not cover all best practices; for instance, the ones relating to organisational processes fall outside the realm of computer science. \section{Design principles} \label{section:principles} -Before diving into the concrete issues being solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{\textit{Write programs to work together} is also applicable since allowing interoperability is part of the core requirements.}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. +Before diving into the concrete issues being solved, let us detail the principles we use while implementing their solutions. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well}. Apart from providing a clear and simple picture of the intended use cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. -In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. +A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). -Linguistic anti-patterns provide guidelines for improving consistency and decreasing the false sense of consistency when there is none. Also, choosing the right names for identifiers can help activate information stored in the long-term memory, making it quicker to comprehend and easier to reason about the code \cite{deissenboeck2006concise}. Finding the most accurate and useful names is more challenging than it first seems. Accuracy and usefulness are already often competing goals. The more precise the name, the longer and therefore less convenient to use \cite{butler2009relating}. In short, good names are essential to good APIs; consciously considering the implications of names should be an integral part of the design process. +Moreover, the theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. -Nonetheless, simple APIs come at a high technical cost. The library has to implement these in a way that still allows for high performance in production \cite{kleppmann2017designing} and avoids being tied to specific libraries or technologies. Inspiration for the latter may be gained from the ML pipelines of Prado et al. \cite{prado2020bonseyes}: they show that more freedom can be achieved with plug-and-play steps and preconfigured defaults. +Linguistic anti-patterns provide guidelines for improving consistency and decreasing the false sense of consistency when there is none. Also, choosing the right names for identifiers can help activate information stored in the long-term memory, making it quicker to comprehend and easier to reason about the code \cite{deissenboeck2006concise}. Finding the most accurate and useful names is more challenging than it first seems. Accuracy and usefulness are already often competing goals: the more precise the name, the longer and, therefore, less convenient to use \cite{butler2009relating}. In short, good names are essential to good APIs; consciously considering the implications of names must be an integral part of the design process. + +Nonetheless, simple APIs come with a high technical cost. The library has to implement these in a way that still allows for high performance in production \cite{kleppmann2017designing} and avoids being tied to specific libraries or technologies. Inspiration for the latter may be gained from the ML pipelines of Prado et al. \cite{prado2020bonseyes}: they show that more freedom can be achieved with plug-and-play steps and preconfigured defaults. \subsection{Default configuration} -Existing frameworks frequently suffer from the entanglement of numerous levels of abstractions.\footnote{\href{https://grugbrain.dev/\#grug-on-apis}{grugbrain.dev}} Instead of exposing each implementation detail and encouraging users to interact with most of them, many of these could be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. +Existing frameworks frequently suffer from the entanglement of numerous levels of abstractions.\footnote{\href{https://grugbrain.dev/\#grug-on-apis}{grugbrain.dev/\#grug-on-apis}} Instead of exposing each implementation detail and encouraging users to interact with most of them, these can be abstracted away in a more high-level layer. Even where configuration may be helpful for advanced users, default values can still be chosen automatically while providing an override option where necessary. For example, tracing the evaluations and the model versions used in a distributed fashion is very much expected of a trustworthy system. Hence, turning this feature on by default but allowing opting-out from it can result in less scaffolding required from the library's users. It also decreases their up-front cognitive load, which by definition flattens the learning-curve \cite{hermans2021programmer}. Similar features can be imagined for providing a service API for the algorithms, giving feedback, marking outliers, and more. @@ -56,13 +58,13 @@ Being \textit{automated} is listed as a requirement, but it is imperative to onl Learning from this, any guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to vastly more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. -To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skipping them. +To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. However, the values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skipping them. This way, the library attempts to notify its user about the existence of these decisions but does not force them to decide manually. As a result, no initial configuration is needed for starting out with the library (high \textit{Provisionality}, low \textit{Diffuseness}), and the dependencies are not hidden since they are explicitly highlighted. \subsection{Documentation} -Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentations come in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. Descriptive error messages can also be viewed as documentation. +Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentations come in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), but at the same time, a more comprehensive online manual and example projects are also still expected. Descriptive error messages can also be viewed as documentation. The library must have quality documentation for all categories. Accordingly, for structuring it, the \textit{Diátaxis} philosophy is preferred \cite{Procida_Diataxis_documentation_framework} which prescribes dividing documentation into 4 parts along 2 axes: practical-theoretical and passive-active consumption. The four quadrants derived from this are tutorials, how-to guides, references, and explanations. @@ -70,15 +72,15 @@ Once again, we might notice two competing interests: the level of detail and the A large portion of software documentations is automatically generated from source code, and this has the advantage of always keeping it in sync with code changes. However, it might also signal that the API is too large because it is inconvenient for the developers to document it by hand. Striking the right balance between handcrafted and automatically extracted documentation may be a vital component of good documentation. -When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Making them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. Take the example of another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but we argue that the DX could be improved by displaying where to start more prominently. +When it comes to example code, showing at least a minimal starter code and the way of customising it has to be showcased front and centre. It is a well-known observation that developers only read the documentation when they are stuck, and there might be some merit to this. Helping them not get stuck --- by providing a starter code from which they can explore the API using IntelliSense-like solutions --- should be preferred. Take the example of another widely popular Python web framework, Flask\footnote{\href{https://flask.palletsprojects.com/en/2.1.x/}{flask.palletsprojects.com/en/2.1.x}}, at this time, has 324 homogeneously styled links on its landing page. Out of these, only two lead to the quick-start code. Of course, it is not hidden, but we argue that the DX could be improved by displaying where to start more prominently. \subsection{Developer experience} -Subjectively, a key component of good DX is \textit{Progressive evaluation} through which development can become a highly iterative, experimental process. This is well-understood by popular data science tools, such as Jupyter Notebooks. \textit{GreatAI} also has to support some level of this, for example, in the form of auto-reload on code changes. Further key ingredients for good DX are consistency and discoverability. To give one more example, the MySQL connector's Python implementation\footnote{\href{https://dev.mysql.com/doc/connector-python/en/}{dev.mysql.com/doc/connector-python/en}} has a cursor object which exposes a \texttt{fetchone} method. Even though this naming scheme is not conventional in Python since it does not follow \href{https://peps.python.org/pep-0008/}{PEP 8}, at least the API is intuitive: changing \texttt{sql\_cursor.fetchone()} to \texttt{sql\_cursor.fetchall()} returns all items instead of just one. Using good and consistent names is the key to good DX. +Subjectively, a key component of good DX is \textit{Progressive evaluation} through which development can become a highly iterative, experimental process. This is well-understood by popular data science tools, such as Jupyter Notebooks. \textit{GreatAI} also has to support some level of this, for example, in the form of auto-reload on code changes. Further key ingredients of good DX are consistency and discoverability. To give one more example, the MySQL connector's Python implementation\footnote{\href{https://dev.mysql.com/doc/connector-python/en/}{dev.mysql.com/doc/connector-python/en}} has a cursor object which exposes a \texttt{fetchone} method. Even though this naming scheme is not conventional in Python since it does not follow \href{https://peps.python.org/pep-0008/}{PEP 8}, at least the API is intuitive: changing \texttt{sql\_cursor.fetchone()} to \texttt{sql\_cursor.fetchall()} returns all items instead of just one. Using good and consistent names is the key to good DX. At the same time, Python codebases are rarely strictly object-oriented (OO). They are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable; therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer}, which amounts to quicker comprehension. -There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, it is only singly negated when overriding it. This approach also implies that something may be recommended to be turned on by default. +There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they can be useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, it is only singly negated when overriding it. This approach also implies that something may be recommended to be turned on by default. \section{Architecture} \label{section:architecture} diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index 204ec05..c8cf9d4 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -1,14 +1,14 @@ -\chapter{The ScoutinScience platform} \label{chapter:case} +\chapter{The ScoutinScience Platform} \label{chapter:case} -The core product of ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} is its platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporates (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. +The core product of ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} is its Platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporations (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology-transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. -Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. +Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology-transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. To achieve this, we have a service-based architecture \cite{kleppmann2017designing} on the backend-side --- apart from the data integration, communication, and business logic --- it is made up of services wrapping simpler (phrase-matching, Naïve Bayes) and more sophisticated (conditional random fields, transformer) models. As we will soon see, these can also depend on each other; for instance, based on the predicted scientific domain, a different model can be chosen for scoring certain aspects of papers. I was among the first engineers on the team, which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems, and it is also larger than it should be. This has motivated me to investigate the state-of-the-art, and I have found that it is insufficient in many cases. Since the ScoutinScience platform is a typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution that can hopefully advance the state-of-the-art. -This chapter describes the process of designing \textit{GreatAI} and how it fits into real-life use cases. First, a simple experiment is presented, which leads to the implementation of a software service. Subsequently, as the feature set of the library grows and matures, a more complex component is developed. Lastly, the final version of the design is presented and qualitatively evaluated to verify how well it satisfies the requirements described in Section \ref{section:requirements}. +This chapter describes the process of designing \textit{GreatAI} and how it fits into real-life use cases. First, a simple experiment is presented which investigates a Naïve Bayes classifier's \cite{maron1961automatic} accuracy at predicting the fields of papers. This leads to the implementation of a software service that is deployed to production. Subsequently, as the feature set of the library grows and matures, a more complex component is developed concerning text-summarisation with SciBERT \cite{beltagy2019scibert}. After implementing each case, the insights gained are fed back into the library's design. \input{chapters/5_cases/naive-bayes} \input{chapters/5_cases/scibert} diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 1b2dad7..ae7b95f 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -1,4 +1,3 @@ -\newpage \section{Domain classification with Naïve Bayes} \label{section:simple-case} Using different models for slight variations of the same problem is commonplace in the industry. For instance, UberEats has a vast hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. One of the reasons for this can be the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential). In contrast, in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but, more importantly, their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction classifier for academic papers. @@ -7,7 +6,7 @@ Using different models for slight variations of the same problem is commonplace Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for precisely this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts, as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches. However, this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground truth dataset. -Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and fine-tuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version of this dataset, available at: \\ \href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}}. To my knowledge, no other published work exists on this sentence classification task. This may be explained by the task's lack of practical relevance and contrived nature (uniform label distribution), as we will see in the following subsection. +Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and fine-tuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version of this dataset, available at: \\ \href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}}. To our knowledge, no other published work exists on this sentence classification task. This may be explained by the task's lack of practical relevance and contrived nature (uniform label distribution), as we will see in the following subsection. \begin{displayquote} \textbf{Design note} After getting familiar with the context, it is time to focus on experimenting and developing our domain prediction service. At the same time, the difficulties encountered should be noted and integrated into \textit{GreatAI}'s design. @@ -23,20 +22,20 @@ Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin20 \label{fig:mag-distribtion} \end{figure} -Two datasets are considered for the experiments: SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared to MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use case. +Two datasets are considered for the experiments: SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared to MAG's 7, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use case. SciBERT's version of the MAG dataset has 84,000 and 22,300 sentences in its train and test splits, respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. -SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data are randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. - -\begin{figure} +\begin{figure}[H] \centering - \includegraphics[width=0.85\linewidth]{figures/ss-distribution.png} + \includegraphics[width=0.8\linewidth]{figures/ss-distribution.png} \captionsetup{width=.9\linewidth} - \caption{Label distribution of the Semantic Scholar dataset \cite{Lo2020S2ORCTS}. Each publication may be assigned at most three domains.} + \caption{Label distribution of the Semantic Scholar dataset \cite{Lo2020S2ORCTS}. Each publication may be assigned at most three labels.} \label{fig:ss-distribution} \end{figure} +SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data are randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. + \begin{displayquote} \textbf{Where should we store this data?} ``On my machine'' seems like an easy answer. However, if we have a team working with the data or it has intrinsic value, it must be stored in an easy-to-access, potentially redundant way. Serban et al. \cite{serban2020adoption} expressed this need in the following best practice: \textit{Make Data Sets Available on Shared Infrastructure (private or public)}. Meanwhile, wherever data is stored, it should also be versioned to satisfy the next best practice: \textit{Use Versioning for Data, Model, Configurations, and Training Scripts}. \end{displayquote} @@ -44,16 +43,14 @@ SSC is much larger: it contains over 80 million abstracts. Having more data cert MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{beltagy2019scibert}. However, since SSC contains heaps of metadata, the relevant parts have to be extracted and preprocessed. In this case, these are the concatenation of the abstract's text and the paper's title along with the paper's domains (there can be multiple domains for a single paper: it is a multi-label classification task). Lastly, the non-English entries are discarded because we only expect to process papers in English. \begin{displayquote} -\textbf{How should we preprocess the data?} These simple processing steps (filter, map, project) are almost always present in the data science lifecycle. For example, cleaning the input text from various HTML, OCR, PDF, or \LaTeX \hskip 0.12cm extraction artifacts is normally necessary for text analysis. This is captured in the \href{https://se-ml.github.io/practices}{AI best practices collection} under the following category: \textit{Write Reusable Scripts for Data Cleaning and Merging}. Also, the best practice of \textit{Test all Feature Extraction Code} is somewhat applicable: the applied processing steps must not introduce unwanted artifacts. +\textbf{How should we preprocess the data?} These simple processing steps (filter, map, project) are almost always present in the data science lifecycle. For example, cleaning the input text from various HTML, OCR, PDF, or \LaTeX \hskip 0.12cm extraction artifacts is normally necessary for text analysis. This is captured in the \href{https://se-ml.github.io/practices}{AI best practices collection} under the following category: \textit{Write Reusable Scripts for Data Cleaning and Merging}. Also, the best practice of \textit{Test all Feature Extraction Code} is somewhat applicable: the applied processing steps must not introduce unwanted side-effects. \end{displayquote} \subsection{Methods} Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with the prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. -It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. - -Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. +It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model --- Multinomial Naïve Bayes (MNB) --- is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took 71 lines of code to create, hyperparameter optimise, and test a text classifier.\footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than five documents or more than 5\% of the documents. @@ -65,7 +62,7 @@ The sentences are tokenised into words and vectorised with TF-IDF (with logarith \begin{figure} \centering - \includegraphics[width=0.8\linewidth]{figures/mag-confusion.png} + \includegraphics[width=0.9\linewidth]{figures/mag-confusion.png} \captionsetup{width=.9\linewidth} \caption{Confusion matrix of a Naïve Bayes classifier on the MAG dataset's sentences. The matrix is normalised column-wise. Notice, how most mistakes happen between semantically similar classes, for instance: \textit{politics} -- \textit{sociology} or \textit{business} -- \textit{economics}.} \label{fig:mag-confusion} @@ -83,9 +80,7 @@ When this model is applied to the \textit{test} split of MAG, we get the confusi It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a straightforward task like this. Apart from phrases, the relations between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}; hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. -Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average than on MAG, with F1-score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. - -The lower F1-score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. +Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average than on MAG, with an F1-score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. The lower F1-score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between related domains. \begin{displayquote} This is the usual point where papers conclude: a proof-of-concept/prototype has been built, and its performance demonstrated, measured --- and usually --- explained. Nonetheless, in an industrial setting, our problem is far from being solved: it has yet to be deployed. @@ -93,7 +88,7 @@ This is the usual point where papers conclude: a proof-of-concept/prototype has \subsection{Deployment} -First, an inference function needs to be written to take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, explaining the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. +First, an inference function needs to be written to take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, explaining the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top five tokens from the input text ranked by their feature weights. The last deployment step is to provide access to our model for others. \begin{displayquote} \textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though allowing it to be easily (or automatically) parallelised would improve its consumers' DX. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface or, more commonly, a web API. Developers usually refer to these as REST APIs, and sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service to make it available to other internal/external consumers. @@ -102,7 +97,7 @@ First, an inference function needs to be written to take input on the fly and ca According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is, inarguably, a deployment. However, it likely follows very few of the best practices, which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. \begin{displayquote} -\textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting the traces, graceful error-handling, taking feedback on the results (if possible in the use case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. +\textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting prediction traces, graceful error-handling, taking feedback on the results (if possible in the use case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. \end{displayquote} \section{Bridging the gap with GreatAI} @@ -115,30 +110,30 @@ This section briefly explores how the problems raised can be solved using \texti The obstacles coming from the intertwined nature of different models are widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. -We must address two data storage needs: training data and trained models. Proper version control is one of the most basic expectations for commercial codebases. Based on developer surveys, it is likely that our code is already tracked under Git and synchronised with GitHub\footnote{\href{https://octoverse.github.com/\#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{octoverse.github.com}}. Therefore, using Git Large File Storage (LFS) might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to delete the entire repository\footnote{\href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage\#git-lfs-objects-in-your-repository}{docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage}}. +We must address two data storage needs: training data and trained models. Proper version control is one of the most basic expectations for commercial codebases. Based on developer surveys, it is likely that our code is already tracked under Git and synchronised with GitHub\footnote{\href{https://octoverse.github.com/\#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{octoverse.github.com/\#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}}. Therefore, using Git Large File Storage (LFS) might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to delete the entire repository\footnote{\href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage\#git-lfs-objects-in-your-repository}{docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage}}. An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then we highly recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, we present a simpler solution. The complexity of an API can be decreased by relying on its users' preexisting knowledge, and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface; however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, and automatically deleting old remote versions are all present and come with recommended --- but easy to see and change --- configuration. -Easing development is not merely about automating everything but also about making the code easy to change (which is the \textit{Viscosity} dimension of CDCB). Going from opening a local file on the disk with the built-in open method, to opening a file from S3 is as easy as changing \texttt{open('file.txt', 'w')} to \texttt{LargeFileS3('file.txt', 'w')}. In the case of the latter, an additional \texttt{version} keyword argument can also be given to lock ourselves in using a certain version which is very much desired in the case of models. +Easing development is not merely about automating everything but also about making the code easy to change (which is the \textit{Viscosity} dimension of CDCB). Going from opening a local file on the disk with the built-in open method, to opening a file from S3 is as easy as changing \texttt{open(`file.txt', `w')} to \texttt{LargeFileS3(`file.txt', `w')}. In the case of the latter, an additional \texttt{version} keyword argument can also be given to lock ourselves in using a specific version which can be desirable in the case of models. \subsection{Utilities} -It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, and robustly lemmatising are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. +It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters are some of the most common. But splitting sentences, language tagging, and robustly lemmatising are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. This is exactly the motivation behind \texttt{great\_ai.utilities}. Extra care has to be taken not to overfit these utilities on the cases considered in this chapter; however, we believe these are versatile enough to be helpful in many text-related contexts. A conclusive answer to this assumption will be found during the interviews. Implementing the unit tests uncovered multiple edge cases and even runtime errors; hence, the merit of \textit{Test all Feature Extraction Code} best practice is unequivocal. There is one more best practice that could be partially covered here, especially because its solution also helps both during batch inference but also at training/feature extraction time: \textit{Enable Parallel Training Experiments}. -A function called \texttt{parallel\_map()} is implemented which closely mimics the API of the built-in Python function: \texttt{map}. Furthermore, it exemplifies how even a close to trivial function can improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the built-in \texttt{multiprocessing} library has a great API. However, doing a parallel mapping task with a progress bar still takes about a dozen lines. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a single-line, routine task. +A function called \texttt{parallel\_map()} is also implemented which closely mimics the API of the built-in Python function: \texttt{map}. Furthermore, it exemplifies how even a close to trivial function can improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the standard \texttt{multiprocessing} library has a great API. However, doing a parallel mapping task with a progress bar still takes about a dozen lines. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a one-liner routine task. \subsection{Deployment approach} Some of the expectations one might have for data-intensive (such as AI) software are similar to that for software in general. These are also captured by the best practices: \textit{Use Continuous Integration}, \textit{Automate Model Deployment}, and \textit{Enable Automatic Roll Backs for Production Model} to name a few. It is important to notice that these have already been solved by software engineering, more specifically, by the DevOps paradigm \cite{leite2019survey}. In line with the findings of John et al. \cite{john2020architecting} on the SOTA of AI deployments, we suggest wrapping the applications in a format more compatible with existing DevOps toolkits. Instead of reinventing the wheel, we should rely on more established DevOps best practices for implementing the SE4ML deployment best practices. Besides, organisations are expected to have their deployment processes for classical applications; thus, allowing them to reuse those for AI applications seems to be the most convenient approach. -Based on personal experiences, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. +Based on personal experiences, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the abovementioned common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. \begin{listing}[!ht] \begin{minted}[ @@ -160,8 +155,7 @@ def greeter(name: str) -> str: The main advantage of the wrapping approach is that it does not require any input from the clients (by default). We opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. - -\begin{listing} +\begin{listing}[!ht] \begin{minted}[ frame=lines, framesep=2mm, @@ -170,13 +164,14 @@ linenos ]{python} from great_ai import save_model, GreatAI, parameter, use_model, log_metric -save_model('special_number', 405) # this could have been called in another script +# this could have been called in another script +save_model('special_number', 405) @GreatAI.create @parameter('positive_number', validate=lambda n: n > 0) @use_model('special_number', version='latest', model_kwarg_name='special') def add_to_special_number(positive_number: int, special: int) -> int: - """This docstring will be exported as documentation.""" + """This docstring will be parsed and exported as documentation.""" log_metric('log directly into the Trace', positive_number ** 2) return special + positive_number @@ -187,18 +182,20 @@ assert add_number(12).output == 417 \label{listing:complex} \end{listing} +\newpage + Coincidentally, deployment best practices can be easily implemented in this wrapper layer. In the first iteration, these are input validation, persisting traces, online monitoring, and generating documentation. Input validation may be used to \textit{Check that Input Data is Complete, Balanced and Well Distributed}. Traces are essential for both \textit{Log Production Predictions with the Model's Version and Input Data} and \textit{Provide Audit Trails}. However, traces can also indirectly help \textbf{Robustness} because even production systems cannot be expected to be perfect. Saving and letting the users filter on encountered errors while allowing them to correlate those with the inputs producing them is imperative for facilitating debugging. Lastly, monitoring and documentation correspond with helping best practices: \textit{Continuously Monitor the Behaviour of Deployed Models} and \textit{Communicate, Align, and Collaborate With Others} respectively. To allow customising the service's behaviour to fit different use cases, the default configurations can be overridden by calling some library functions. An example of this can be seen in Listing \ref{listing:complex}, while more details of the semantics can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/how-to-guides/create-service/}{great-ai.scoutinscience.com/how-to-guides/create-service}}. +\subsection{Summary} + \begin{figure}[H] \centering - \includegraphics[width=0.85\linewidth]{figures/dashboard-domains.png} + \includegraphics[width=0.8\linewidth]{figures/dashboard-domains.png} \captionsetup{width=.9\linewidth} - \caption{Screenshot of the domain prediction integrated into the ScoutinScience platform, where it is used as a filtering option.} + \caption{Screenshot of the domain prediction integrated into the ScoutinScience Dashboard, where it is used as a filtering option.} \label{fig:dashboard-domains} \end{figure} -\subsection{Summary} - -After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{GreatAI.create} and packaged in a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how the franework fares in a more complex case. +After implementing some features of the library, it can already be used for deploying the previously discussed domain prediction model. In this case, online prediction is expected; hence, the REST API-based deployment is chosen, which is created by \texttt{@GreatAI.create} and packaged into a Docker image. This image can be instantiated by the company's existing DevOps pipeline and cloud infrastructure. In the end, users can see one more tag in the header section of publication evaluations, where they can also see the explanation behind the model's decision as demonstrated in Figure \ref{fig:dashboard-domains}. Let us now explore how the framework fares in a more complex case. diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 4af6e2f..0de356b 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -23,57 +23,43 @@ A formulaic expression is a phrase with zero or more ``slots'' which, when fille In order to compile a new dataset, experts are asked to judge sentences that passed an \textit{intention check}. This pooling approach is commonly used in information retrieval \cite{schutze2008introduction}. The filtering is expected to sieve out sentences that are probably not relevant from a technology-transfer perspective using Iwatsuki's formulaic expression intention classes. Subsequently, relevance judgements --- in the form of \textit{interesting} or \textit{not interesting} labels --- are gathered for the remaining sentences. This method turns the extractive summarisation into a binary classification task for which a SciBERT model \cite{beltagy2019scibert} can be fine-tuned. Ultimately, the summaries are derived from sentences selected by the classifier trained on the experts' annotations. -We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after \textit{tech-transfer opportunities} aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents, and the sparseness of the selected sentences, any combination of them is likely to have low redundancy. - -\subsection{Results} - -For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.43} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. Even though the original quality ranges are sometimes criticised for being too relaxed for the medical domain \cite{mchugh2012interrater}, some leniency is acceptable for many NLP tasks due to their subjectiveness. Regardless, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. - -\begin{figure} +\begin{figure}[!ht] \centering \includegraphics[width=0.75\linewidth]{figures/annotator.png} \captionsetup{width=.9\linewidth} - \caption{The Annotator UI shows a single sentence and the two possible labels that can be assigned based on its relevance to technology transfer.} + \caption{The annotator UI showing a single sentence and the two labels that can be assigned based on its relevance to technology-transfer.} \label{fig:annotator} \end{figure} +We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after \textit{tech-transfer opportunities} aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, we expect that stemming from the length of the documents, and the sparseness of the selected sentences, any combination of them is likely to have low redundancy. + +\subsection{Results} + +For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, we calculated Cohen's kappa \cite{cohen1960coefficient} as shown in Equation \ref{equation:kappa}, which turned out to be \textbf{0.43} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. Even though the original quality ranges are sometimes criticised for being too relaxed for the medical domain \cite{mchugh2012interrater}, some leniency is acceptable for many NLP tasks due to their subjectiveness. Regardless, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. This is reasonable because the annotators have dissimilar backgrounds and likely judged slightly different aspects of the sentences. + \begin{equation} \label{equation:kappa} \kappa_{agreement} \equiv \frac{p_{observed} - p_{expected}}{1 - p_{expected}} = 1 - \frac{1 - p_{observed}}{1 - p_{expected}} \end{equation} -The next step is fine-tuning SciBERT with the help of Hugging Face \texttt{transformers} \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. A validation split, used for early stopping, is also derived from the train split. The objective function is the F1-score of the positive class, and the early stopping patience is five epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. - \begin{displayquote} -\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different data points in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. For facilitating reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own; however, in some cases, it can result in one fewer step to miss. +\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different data points in the test-train splits during training and validation in a Continuous Integration (CI) pipeline, thus, data leakage. For facilitating reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own; however, in some cases, it can result in one fewer step to miss. \end{displayquote} -\begin{displayquote} -\textbf{Utility of LargeFiles} For the purposes of the documentation, the fine-tuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by automatically handling the uploads and downloads. Of course, first, backwards compatibility had to be solved for Python 3.7, the only available environment in Colab. -\end{displayquote} - -The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}, and the per class accuracy metrics in Table \ref{table:scibert-pr}. Despite the task's subjective definition, SciBERT achieves good quality, indicated by an F1-score of \textbf{0.80}. - -\begin{figure} +\begin{figure}[!ht] \centering - \includegraphics[width=0.55\linewidth]{figures/scibert-confusion.png} + \includegraphics[width=0.7\linewidth]{figures/scibert-confusion.png} \captionsetup{width=.9\linewidth} \caption{Confusion matrix of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} \label{fig:scibert-confusion} \end{figure} -Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the relevant (summary candidate) sentences are supposed to reflect the same aspect of papers, we can reasonably expect some correlation between the grades and relevant sentence counts. +The next step is fine-tuning SciBERT with the help of Hugging Face \texttt{transformers} \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. A validation split, used for early stopping, is also derived from the train split. The objective function is the F1-score of the positive class, and the early stopping patience is five epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. -Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. This dataset does not overlap with the training data; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences chosen by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. +\begin{displayquote} +\textbf{Utility of LargeFiles} For the purposes of the documentation, the fine-tuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine instance is granted. The \texttt{LargeFile} implementation alleviated this problem by automatically handling the uploads and downloads. Of course, first, backwards compatibility had to be solved for Python 3.7, the only available environment in Colab. +\end{displayquote} -\begin{figure} - \centering - \includegraphics[width=0.85\linewidth]{figures/highlights-histograms.png} - \captionsetup{width=.9\linewidth} - \caption{Distribution of mean predicted summary candidate sentence counts (refered to as \textit{highlights}) in 4 categories. Category \texttt{A} corresponds to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale.} - \label{fig:histograms} -\end{figure} - -\begin{table}[H] +\begin{table}[!ht] \centering \begin{threeparttable} \caption{Accuracty metrics of the fine-tuned SciBERT model on the \textit{summary candidate sentences} dataset.} @@ -89,6 +75,28 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr \end{threeparttable} \end{table} +Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the relevant (summary candidate) sentences are supposed to reflect the same aspect of papers, we can reasonably expect some correlation between the grades and relevant sentence counts. + +\begin{figure}[!ht] + \centering + \includegraphics[width=0.9\linewidth]{figures/highlights-histograms.png} + \captionsetup{width=.9\linewidth} + \caption{Distribution of mean predicted summary candidate sentence counts (refered to as \textit{highlights}) in 4 categories. Category \texttt{A} corresponds to the most, while \texttt{D} to the least interesting papers based on mean user feedback. The sample size is 1406 (\texttt{D}=715, \texttt{C}=309, \texttt{B}=198, \texttt{A}=184). The histograms are on the same scale but shifted vertically according to the grade to which they correspond.} + \label{fig:histograms} +\end{figure} + +The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}, and the per class accuracy metrics in Table \ref{table:scibert-pr}. Despite the task's subjective definition, SciBERT achieves good quality, indicated by an F1-score of \textbf{0.80}. + +Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. This dataset does not overlap with the training data; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences chosen by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. + +\begin{figure}[!ht] + \centering + \includegraphics[width=\linewidth]{figures/dashboard-highlights.png} + \captionsetup{width=.9\linewidth} + \caption{The tech-transfer summary of an academic publication (\cite{bruns2022deep}). The titles and sentences can be clicked to navigate the paper on the right. Meanwhile, some explanation is provided by the highlighted words, the opacity of which corresponds to their attention weights.} + \label{fig:dashboard-highlights} +\end{figure} + \subsection{Deployment} To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. @@ -100,20 +108,12 @@ baselinestretch=1, ]{python} np.sum(result.attentions[-1].numpy()[0], axis=0)[0][1:-1] \end{minted} -Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API that can be achieved using type hints, descriptive property names, and docstrings. +Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in our library design; it has to have an explicit and discoverable API that can be achieved using type hints, descriptive property names, and docstrings. \end{displayquote} -\begin{figure} - \centering - \includegraphics[width=1\linewidth]{figures/dashboard-highlights.png} - \captionsetup{width=.9\linewidth} - \caption{The tech-transfer summary of an academic publication (\cite{bruns2022deep}). The titles and sentences can be clicked to navigate the paper on the right. Meanwhile, some explanation is provided by the highlighted words, the opacity of which corresponds to their attention weights.} - \label{fig:dashboard-highlights} -\end{figure} - \section{Improving GreatAI} -After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions that were motivated by the \textit{Highlights (summarisation) service} are presented. After which, the final surface of the API is described and evaluated by its relation to the SE4ML \cite{serban2020adoption,serban2021practices} and AI engineering \cite{john2020architecting,john2020ai} best practices. +After having solved two problems by implementing two standalone services and integrating them into an existing ecosystem while relying on \textit{GreatAI} as a primary tool, a wide variety of insights have been gained. In the next couple of subsections, the extra features and design decisions that were motivated by the \textit{Highlights (summarisation) service} are presented. After which, the final surface of the API is described, which will be evaluated by its relation to the deployment best practices \cite{serban2020adoption,serban2021practices,john2020architecting,john2020ai} in the next chapter. \subsection{Caching} @@ -123,7 +123,35 @@ Sustainability is an increasingly crucial concern of ethical AI \cite{van2021sus Even though most inference functions are CPU-bound, it turns out that sometimes they involve IO, especially when relying on the results of other remote models. This means a significant performance improvement can be achieved by implementing some inference functions asynchronously \cite{tilkov2010node}. Thus, \textit{GreatAI} also has to support decorating both regular (synchronous) and asynchronous functions. One notable consequence is that the batch processing feature must also be compatible with \texttt{async} inference functions. Batch processing is still a helpful feature since it is likely that async inference functions are both IO (remote calls) and CPU (local evaluation) constrained at the same time. Thus, they can benefit from multi-core parallelisation. -However, the standard library's \texttt{multiprocessing}, the third party \texttt{multiprocess} \cite{mckerns2012building}, and, another popular library, \texttt{joblib}\footnote{\href{https://joblib.readthedocs.io/en/latest/}{joblib.readthedocs.io/en/latest}} all lack the support for efficiently parallelising async functions. For this reason, \texttt{parallel\_map} is reimplemented to create an event-loop in each worker process to keep the efficiency of non-blocking IO while also providing parallelisation for the CPU-bound sections of code. +However, the standard library's \texttt{multiprocessing}, the third party \texttt{multiprocess} \cite{mckerns2012building}, and, another popular library, \texttt{joblib}\footnote{\href{https://joblib.readthedocs.io/en/latest/}{joblib.readthedocs.io/en/latest}} all lack the support for efficiently parallelising async functions. For this reason, \texttt{parallel\_map} was reimplemented to create an event-loop in each worker process to keep the efficiency of non-blocking IO while also providing parallelisation for the CPU-bound sections of code. + +\subsection{Human integration} + +\begin{figure} + \centering + \includegraphics[width=\textwidth]{figures/greatai-header.png} + \captionsetup{width=.9\linewidth} + \caption{The header of the automatically generated dashboard of the service from Section \ref{section:simple-case}. A generated documentation is shown on the left, while the histogram of response times is rendered on the right. The current configuration is prominently displayed on the bottom.} + \label{fig:greatai-header} +\end{figure} + +Even though the REST API of \textit{GreatAI} services exposes all necessary features\footnote{Such as providing feedback per prediction, complexly filtering and sorting traces, create-read-update-delete (CRUD) operations for the feedbacks and traces, accessing live monitoring info (current configuration, versions, cache statistics), etc.} which are great for programmatic access, these are not ideal for direct human consumption. To ease the introduction of \textit{GreatAI} services, a rudimentary dashboard is --- optionally --- generated. The dashboard's main features can be observed in Figures \ref{fig:greatai-header}, \ref{fig:greatai-table}, and \ref{fig:greatai-parallel}. The diagrams and filterable/sortable table are interconnected and are automatically updated; the reactive behaviour is provided by the Dash framework \cite{shammamah_hossain-proc-scipy-2019}. + +\begin{figure} + \centering + \includegraphics[width=\textwidth]{figures/greatai-table.png} + \captionsetup{width=.9\linewidth} + \caption{A dynamically updating, tabular view of traces matching a user-defined filter. Useful for exploring historical predictions or debugging the cause of exceptions (which are also searchable). The filters set in the table affect the other diagrams of the dashboard.} + \label{fig:greatai-table} +\end{figure} + +\begin{figure} + \centering + \includegraphics[width=\textwidth]{figures/greatai-parallel.png} + \captionsetup{width=.9\linewidth} + \caption{A parallel coordinates view of the traces displayed in the table above. Adding new axes is as easy as calling \texttt{log\_metric} inside the inference function.} + \label{fig:greatai-parallel} +\end{figure} \subsection{Programmatic integration} @@ -133,36 +161,8 @@ Additionally, a REST API is generated with its accompanying OpenAPI schema\footn \begin{figure} \centering - \includegraphics[width=0.85\linewidth]{figures/greatai-api.png} + \includegraphics[width=\linewidth]{figures/greatai-api.png} \captionsetup{width=.9\linewidth} \caption{Documentation of the automatically scaffolded REST API of a \textit{GreatAI} service. Notice, how its version string includes its registered models in a SemVer compliant way: \texttt{0.0.1+small-domain-prediction-v11}.} \label{fig:greatai-api} \end{figure} - -\subsection{Human integration} - -Even though the REST API of \textit{GreatAI} services exposes all necessary features\footnote{Such as providing feedback per prediction, complexly filtering and sorting traces, create-read-update-delete (CRUD) operations for the feedbacks and traces, accessing live monitoring info (current configuration, versions, cache statistics), etc.} which are great for programmatic access, these are not ideal for direct human consumption. To ease the introduction of \textit{GreatAI} services, a rudimentary dashboard is --- optionally --- generated next to the REST API. The dashboard's main features can be observed in Figures \ref{fig:greatai-header}, \ref{fig:greatai-table}, and \ref{fig:greatai-parallel}. The diagrams and filterable/sortable table are interconnected and are automatically updated; the reactive behaviour is provided by the Dash framework \cite{shammamah_hossain-proc-scipy-2019}. - -\begin{figure} - \centering - \includegraphics[width=1\textwidth]{figures/greatai-header.png} - \captionsetup{width=.9\linewidth} - \caption{The header of the automatically generated dashboard of the service from Section \ref{section:simple-case}. A generated documentation is shown on the left, while the histogram of response times is rendered on the right. The current configuration is prominently displayed on the bottom.} - \label{fig:greatai-header} -\end{figure} - -\begin{figure} - \centering - \includegraphics[width=1\textwidth]{figures/greatai-table.png} - \captionsetup{width=.9\linewidth} - \caption{A dynamically updating, tabular view of traces matching a user-defined filter. Useful for exploring historical predictions or debugging the cause of exceptions (which are also searchable). The filters set in the table affect the other diagrams of the dashboard.} - \label{fig:greatai-table} -\end{figure} - -\begin{figure} - \centering - \includegraphics[width=1\textwidth]{figures/greatai-parallel.png} - \captionsetup{width=.9\linewidth} - \caption{A parallel coordinates view of the traces displayed in the table above. Adding new axes is as easy as calling \texttt{log\_metric} inside the inference function.} - \label{fig:greatai-parallel} -\end{figure} diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index 4cdb344..383255a 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -57,7 +57,7 @@ Log production predictions with the model's version and input data\textsuperscri \textbf{Best practice} & \textbf{Implementation} & \textbf{Support} \\\hline Execute validation techniques: error rates and cross-validation\textsuperscript{2} & \texttt{*\_ground\_truth} & \checkmark \\\hline % Track models, dependencies, experiments, versions\textsuperscript{2} & \texttt{great\_ai.use\_model}, Dashboard & \checkmark\checkmark \\\hline -Store models in a single format for o of use\textsuperscript{2} & \texttt{save\_model} & \checkmark\checkmark \\\hline +Store models in a single format for ease of use\textsuperscript{2} & \texttt{save\_model} & \checkmark\checkmark \\\hline Rewrite from data analysis to industrial development language\textsuperscript{2} & Jupyter Notebook deployment & \checkmark \\\hline Equip with web interface, package image, provide REST API\textsuperscript{2} & \texttt{@GreatAI.create} & \checkmark\checkmark \\\hline Provide simple API for serving batch and real-time requests\textsuperscript{2} & \texttt{@GreatAI.create} & \checkmark\checkmark \\\hline @@ -87,15 +87,15 @@ Implement standard schemas for common prediction tasks\textsuperscript{3} \FloatBarrier -In Table \ref{table:best-practices-2}, six additional best practices have been added, which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These had not explicitly made it into the aforementioned surveys; however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. +In Table \ref{table:best-practices-2}, we added six additional best practices, which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These had not explicitly made it into the aforementioned surveys; however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. -Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide range; furthermore, there is some overlap between the different studies and even within the studies. However, it is still clear that a large number of best practices (17) can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design, and many others (16) can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). +Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide range; furthermore, there is some overlap between the different studies and even within the studies. However, it is still clear that a large number of best practices (17) can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design, and many others (16) can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services while still implementing various best practices (\textbf{RQ2}). \section{Interviews} \label{section:interviews} -One of the central takeaways of Section \ref{section:existing} was that, for example, Seldon Core is useful for implementing or helping to implement most of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single one. According to the adoption rate surveys, this may discourage a large portion of practitioners from using it or other similar frameworks. The presented solution offers a different mix of features: the initial threshold is virtually non-existent; hence, best practices can be applied immediately. But at the same time, it only covers a more limited range of practices. +One of the central takeaways of Section \ref{section:existing} is that, for example, Seldon Core is useful for implementing or helping to implement most of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single one. According to the adoption rate surveys, this may discourage a large portion of practitioners from using it or other similar frameworks. The presented solution offers a different mix of features: the initial threshold is virtually non-existent; hence, best practices can be applied immediately. But at the same time, it only covers a more limited range of practices. -The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with ten industry practitioners of varying AI/ML and SE experience and backgrounds. In this section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered through the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median of 2.5 years) and Software Engineering (with a median of 2 years). +Our hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, we conducted a series of interviews with the cooperation of ten industry practitioners with varying levels of Software Engineering (SE) and Data Science (DS) experience. In this section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered through the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both DS (with a median of 2.5 years) and SE (with a median of 2 years). \subsection{Best practices survey} \label{subsection:best-practices-survey-results} @@ -109,7 +109,7 @@ Because the survey's 15 questions were compiled from the \textit{Fully automated \centering \includegraphics[width=0.6\linewidth]{figures/best-practices.png} \captionsetup{width=.9\linewidth} - \caption{Best practices adoption rate as a function of software engineering (SE) and Data Science (DS) experience. SE experience is shown on the horizontal axis, while the point sizes denote the practitioners' experience in DS. The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} + \caption{Best practices adoption rate as a function of Software Engineering (SE) and Data Science (DS) experience. SE experience is shown on the horizontal axis, while the point sizes denote the practitioners' experience in DS. The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} \label{fig:adoption} \end{figure} @@ -118,7 +118,7 @@ Because the survey's 15 questions were compiled from the \textit{Fully automated \begin{table}[H] \centering \captionsetup{width=.9\linewidth} -\caption{TAM survey (presented in Appendix \ref{appendix:questions}, sample size = 10) results per variable. The input values range from 1 to 7.} +\caption{Technology acceptance model survey (presented in Appendix \ref{appendix:questions}, sample size = 10) results per variable. The input values range from 1 to 7.} \label{table:tam} {\renewcommand{\arraystretch}{1.1} % for the vertical padding \begin{tabular}{|r|l|l|l|} \hline @@ -130,7 +130,7 @@ Because the survey's 15 questions were compiled from the \textit{Fully automated \end{tabular}} \end{table} -Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained ten questions from three categories, which could be rated on a 7-point Likert scale. The summary of the answers is presented in Table \ref{table:tam}. The high Cronbach's alpha values indicate strong internal consistency \cite{nunnally1994psychometric} for each TAM dimension; thus, averaging the responses per category is semantically meaningful. +The participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained ten questions from three categories, which could be rated on a 7-point Likert scale. The summary of the answers is presented in Table \ref{table:tam}. The high Cronbach's alpha values indicate strong internal consistency \cite{nunnally1994psychometric} for each TAM dimension; thus, averaging the responses per category is semantically meaningful. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) dimensions of TAM were analysed. Two statistically significant ($P \leq 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable to believe that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. @@ -138,17 +138,15 @@ The assessment of \textit{ease of use} lags behind the rest, but it is still qui \subsection{Task solving \& exit interviews} -In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML. +In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds covered a vast and fascinating cross-section of industrial AI/ML. The financial sector was represented by a researcher working on market prediction models for the Hungarian State Treasury and two people building an upcoming digital bank's core services. Image processing contexts were illustrated by professionals predicting Sun activity at the European Space Agency and different ones creating pose-recognition at a startup for people with disabilities using 3D cameras. Moreover, investigating companies' AI use as part of due diligence processes and intrusion detection from network packet traces are just some of the other core activities the interviewees had been doing recently. -The financial sector was represented by a researcher working on market prediction models for the Hungarian State Treasury and two people building an upcoming digital bank's core services. Image processing contexts were illustrated by professionals predicting Sun activity at the European Space Agency and different ones creating pose-recognition at a startup for people with disabilities using 3D cameras. Moreover, investigating companies' AI use as part of due diligence processes and intrusion detection from network packet traces are just some of the other core activities the interviewees had been doing recently. Stemming from this diversity, these semi-structured interviews could be expected to provide valuable insights into the generalisability of \textit{GreatAI}. - -The methodology of Section \ref{section:interview-setup} was followed by applying reflective journaling and thematic analysis. After labelling each aspect of the feedback, and two iterations of merging redundant or related topics, we end up with three overarching themes: \textit{Functionality}, \textit{API}, and \textit{Responsibility to adopt}. As we will soon see, these correspond to the \textit{perceived utility}, \textit{perceived ease of use}, and \textit{intetion to use} components of TAM moderately well. +Stemming from this diversity, these semi-structured interviews could be expected to provide valuable insights into the generalisability of \textit{GreatAI}. The methodology of Section \ref{section:interview-setup} was followed by applying reflective journaling and thematic analysis. After labelling each aspect of the feedback, and two iterations of merging redundant or related topics, we ended up with three overarching themes: \textit{Functionality}, \textit{API}, and \textit{Responsibility to adopt}. As we will soon see, these correspond to the \textit{perceived utility}, \textit{perceived ease of use}, and \textit{intention to use} components of TAM fairly well. \paragraph{Functionality} The library's feature-set was complimented during most interviews, with one participant noting that, although the overall number of features is relatively small, most of them are utilised in most cases. Similarly, the \texttt{utilities} submodule was appreciated for helping greatly in the interview task, but non-NLP researchers noted its likely inadequacy for their area. Still, they would like to see ``bundle'' or ``toolbox''-style modules for their fields because it would save them from a lot of copy-pasting. The effortless parallel feature extraction and large file handling support were highlighted multiple times for the reason that the particular interviewees had not encountered other libraries providing these features. Other concrete features, such as the searchable \textit{exceptions} column in the Dashboard's table and the \textit{feedback} mechanism, were also popular. One professional highlighted the latter for coercing users to consider a human-in-the-loop approach which was said to be often expected in modern systems. -When reflecting on the framework from a bird's eye view, the generality and extendability of the API were emphasised. As explained by a senior engineer, this is mainly because once you commit to using it, it is important not to find yourself at a dead end for a specific use case forcing you to look for a different library. However, two participants also noted that for complete generality, \texttt{MATLAB} support would be necessary. Regarding non-functional features, private hosting (especially in banking and government), open-source auditability, and easy scaling (by means of an external database) were the top subjects of praise. +When reflecting on the framework from a bird's eye view, the generality and extensibility of the API were emphasised. As explained by a senior engineer, this is mainly because once you commit to using it, it is important not to find yourself at a dead end for a specific use case forcing you to look for a different library. However, two participants also noted that for complete generality, \texttt{MATLAB} support would be necessary. Regarding non-functional features, private hosting (especially in banking and government), open-source auditability, and good scalability (by means of an external database) were the top subjects of praise. \paragraph{API} Regarding the surface through which clients interact with the library, the feedback is also positive but more nuanced. Many participants liked that the functions' behaviour is easy to guess from their names. The decorator syntax caused minor confusion but consulting the documentation solved the issues in all three cases. The CLI app \texttt{great-ai} was appreciated for having a close to trivial signature; the participant noted that she strives to use as few CLI commands as feasible. Surprisingly, even the practitioners with more data science background appreciated the Docker support. Nonetheless, one expert had a feature request for a configuration UI because his colleagues are used to handling MATLAB App Designer applications. @@ -156,23 +154,23 @@ The recurring theme of the discussions focused on the question of ``\textit{How In other words, we could say that the average (cognitive) complexity is low while the worst-case is as high --- if not higher --- than without using \texttt{save\_model()}. This proved to be somewhat controversial. However, ultimately, optimising the happy path of the AI/ML development lifecycle was deemed worthwhile by the participants in most cases. With the argument that the majority of the time spent during a project is spent on this path anyway. However, this raises the question of who exactly are the target users of \textit{GreatAI} and who will fix arising issues? -\paragraph{Responsibility to adopt} Let us first look at some insightful anecdotes that surfaced during the interviews. Especially in more research-oriented environments, production deployment pipelines can be of questionable robustness. This phenomenon was demonstrated by one account of a simple single-machine deployment pipeline: it is an interplay of \texttt{cron} jobs calling a series of shell and MATLAB scripts resembling a Rube Goldberg machine. But connecting a couple of Google Colab accounts to a GitHub repository and Weights\&Biases to implement parallel model training can also be found in the wild. +\paragraph{Responsibility to adopt} Let us first look at some insightful anecdotes that surfaced during the interviews. Especially in more research-oriented environments, production deployment pipelines can be of questionable robustness. This phenomenon was demonstrated by one account of a simple single-machine deployment pipeline: it is an interplay of \texttt{cron} jobs calling a series of shell and MATLAB scripts resembling a Rube Goldberg machine. But connecting a couple of Google Colab accounts to a GitHub repository and Weights\&Biases\footnote{\href{https://wandb.ai/site}{wandb.ai}} to implement parallel model training can also be found in the wild. Moreover, various research companies were mentioned that for multiple years used to or still have an R\&D department consisting solely of data scientists. In one extreme case, the staff was described as more than 30 data scientists and 0 other technical employees. In such a setup, it is unreasonable to expect even professionals to have the capabilities and focus to set up the required foundation for handling all best practices. All but one interviewee verified this assumption. They also referred to their previous projects, which usually required many researchers and experts from various fields, and too often, software engineers had not been prioritised to be included. -Doing software engineering without software engineers is difficult. \textit{GreatAI} is not a viable replacement for any well-trained expert, though it is still better than nothing. During the interviews, we realised that the likely underlying reason for not employing AI engineers or software engineers as part of AI/ML projects is a lack of awareness. This was theorised by some and demonstrated by six participants who had, even though followed some, not explicitly sought out AI deployment best practices. Thus, raising awareness --- especially by presenting a value proposition, e.g. lower maintenance costs and better long-term quality --- might be crucial for improving AI deployments in general. Verifying this hypothesis could be a worthwhile direction for future research. +Doing software engineering without software engineers is difficult. \textit{GreatAI} is not a viable replacement for any well-trained expert, though it is still better than nothing. During the interviews, we realised that the likely underlying reason for not employing AI engineers or software engineers as part of AI/ML projects is a lack of awareness. This was theorised by some and demonstrated by six participants who had, even though followed some, not explicitly sought out information on AI deployment best practices. Thus, raising awareness --- especially by presenting a value proposition, e.g. lower maintenance costs and better long-term quality --- might be crucial for improving AI deployments in general. Verifying this hypothesis could be a worthwhile direction for future research. -During the larger discussions, \textit{GreatAI} was deemed appropriate for awareness raising since it showcases how even a simple library is able to implement a lot of best practices. Additionally, it was noted that it could also be considered for one-person projects where --- by definition --- it is admissible to have no SE expert on the ``team''. To further help such cases, integrating a one-click Heroku\footnote{\href{https://www.heroku.com/}{heroku.com}} app deployment was also recommended to simplify the entire last portion of the lifecycle. +During the larger discussions, \textit{GreatAI} was deemed appropriate for raising awareness since it showcases how even a simple library is able to implement a lot of best practices. Additionally, it was noted that it could also be considered for one-person projects where --- by definition --- it is admissible to have no SE expert on the ``team''. To further help such cases, integrating a one-click Heroku\footnote{\href{https://www.heroku.com/}{heroku.com}} app deployment was also recommended to simplify the entire last portion of the lifecycle. \subsection{Discussion of interviews} -My overall takeaway from this is that most features were well-received, and the high mean value of \textit{perceived utility} is credible. The criticism of being NLP-centric is also justified: the initial scope of the proof-of-principle framework was limited to this domain. Nonetheless, learning the experts' opinion that they wish to have a similarly specific solution to their problem contexts is reassuring because it proves that the API is not only generalisable but is expected to be generalised. At the same time, it is crucial to admit that no one-size-fits-all solution can exist for such a diverse domain. Therefore, allowing customizability and easy extension of the system must remain central design questions. +The overall takeaway from this is that most features were well-received, and the high mean value of \textit{perceived utility} is credible. The criticism of being NLP-centric is also justified: the initial scope of the proof-of-principle framework was limited to this domain. Nonetheless, learning the experts' opinion that they wish to have a similarly specific solution to their problem contexts is reassuring because it proves that the API is not only generalisable but is expected to be generalised. At the same time, it is crucial to admit that no one-size-fits-all solution can exist for such a diverse domain. Therefore, allowing customisability and easy extension of the system must remain central design questions. Regarding the API's level of abstraction, we have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. At the same time, the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}. For instance, Hugging Face \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users are not expected to tackle. In order to reach its goal of improving best practice adoption, \textit{GreatAI} can help raise awareness by presenting a verifiable value proposition, i.e. a couple of lines of code can already result in more maintainable, robust, high-quality deployments. This might prompt users or technical decision-makers to invest more in software engineering in AI/ML projects. Additionally, it can help the effectiveness of AI/software engineers by handling the grunt work of implementing some best practices, leaving them with more resources to focus on the complex and creative aspects of \textit{GREAT} deployments. -In summary, the answer to \textit{How suitable is the design of GreatAI for helping to apply best practices in other contexts?} (\textbf{RQ4}) is --- unsurprisingly --- subjective. Combining the high value of \textit{intention to use} from Table \ref{table:tam}, the generally positive feedback regarding the library's added value, and the numerous feature requests for fitting it to specific needs, we can conclude that there is some chance of suitability for generalisability. The existence of this potential is already exciting and presents an opportunity for experimenting with building on the design of \textit{GreatAI}. +In summary, the answer to \textit{How suitable is the design of GreatAI for helping to apply best practices in other contexts?} (\textbf{RQ4}) is --- unsurprisingly --- subjective. Combining the high value of \textit{intention to use} from Table \ref{table:tam}, the generally positive feedback regarding the library's added value, and the numerous feature requests for fitting it to specific needs, we conclude that there is some chance of suitability for generalisability. The existence of this potential is already exciting and presents an opportunity for experimenting with building on the design of \textit{GreatAI}. \subsection{Threats to validity} @@ -184,18 +182,18 @@ Secondly, the survey answers and, in general, the interviewees may be subject to The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{Available at \href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai} and \href{https://hub.docker.com/repository/docker/schmelczera/great-ai}{hub.docker.com/repository/docker/schmelczera/great-ai}.}. -The library's main limitations come from its bias toward NLP deployments. This is not unreasonable given the design's explorative nature and the context of the case studies. Nevertheless, future work must focus on introducing and balancing support for many more fields' deployments. Although \textit{GreatAI} has already proved its utility, it has also shown that generalising and extending its functionality would be worthwhile. Therefore, many potential improvements are presented below, primarily from the needs arisen during the exit interviews. +The library's main limitations come from its bias toward NLP deployments. This is not unreasonable given the design's exploratory nature and the context of the case studies. Nevertheless, future work must focus on introducing and balancing support for many more fields' deployments. Although \textit{GreatAI} has already proved its utility, it has also shown that generalising and extending its functionality would be worthwhile. Therefore, many potential improvements are presented below. \subsection{More ML fields} -The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data (which caters to textual and tabular data), while the latter gives robust feature extraction support only for textual input. However, sound, image, and video are also widely taken as input. Furthermore, with the rise of multimodal models \cite{gao2020survey}, even different combinations of them may be simultaneously taken as input. +The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data (which caters to textual and tabular data), while the latter gives robust feature extraction support only for textual input. However, in practice, sound, image, and video are also widely taken as input. Furthermore, with the rise of multimodal models \cite{gao2020survey}, even different combinations of them may be simultaneously taken as input. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview of them on the Dashboard's traces table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for counteracting the NLP bias. Hence, widely expanding the scope of applicability of \textit{GreatAI}. As we have seen in Section \ref{section:architecture}, the architecture is otherwise adequately general; therefore, incremental extensions can be applied. \subsection{More best practices} -In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents; however, if there is some existing database in the environment, storing Traces in that can be favourable. \href{https://www.postgresql.org/}{PostgreSQL} is a popular choice, and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. +In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents; however, if there is some existing database in the environment, storing Traces in that can be favourable. PostgreSQL \cite{momjian2001postgresql} is a popular choice, and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. -Data-intensive services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems) \cite{kleppmann2017designing}. As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. Moreover, some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. +Data-intensive services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems) \cite{kleppmann2017designing}. As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. Moreover, some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool, Prometheus\footnote{\href{https://prometheus.io/}{prometheus.io}}, could save the library's users from one more integration step. The common theme among the opportunities mentioned above is that they could be implemented reasonably well without any user input, which aligns with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} already allows anyone to provide support for a wide range of integrations. Additionally, the scope could be reasonably extended, i.e. more practices could be incorporated by including more criteria next to the \textit{GREAT} ones. diff --git a/docs/thesis/chapters/7_conclusion.tex b/docs/thesis/chapters/7_conclusion.tex index e7a7939..f096d4e 100644 --- a/docs/thesis/chapters/7_conclusion.tex +++ b/docs/thesis/chapters/7_conclusion.tex @@ -1,15 +1,15 @@ \chapter{Conclusion} \label{chapter:conclusion} -Concerned by the asymmetry between the industry's adoption of accessible AI/ML-libraries and existing solutions for their robust deployment, we investigated this phenomenon's causes and potential resolution. When looking at various recent case studies, a recurring theme was revealed: \textit{transitioning} from prototype to production-ready AI/ML deployment is a source of adversity for small and large enterprises alike. Even though several frameworks and platforms exist for facilitating this step, surveys on the execution of best practices continue to expose the industry's shortcomings. This signals that existing libraries are underutilised, which may lead to poor AI deployments that underperform or develop issues that go unnoticed and might inflict societal harm. +Concerned by the asymmetry between the industry's adoption of accessible AI/ML-libraries and existing solutions for their robust deployment, we investigated this phenomenon's causes and potential resolution. When looking at various recent case studies, a recurring theme was revealed: \textit{transitioning} from prototypes to production-ready AI/ML deployments is a source of adversity for small and large enterprises alike. Even though several frameworks and platforms exist for facilitating this step, surveys on the execution of best practices continue to expose the industry's shortcomings. This signals that existing libraries are underutilised, which may lead to poor deployments that underperform or develop issues that go unnoticed and might inflict societal harm. -It was hypothesised that presenting a library which implements best practices and is also optimised for ease of adoption could help increase the overall quality of industrial AI/ML deployments. To test this, a framework was designed and implemented based on the principles of cognitive science and the prior art of software design. The design was subsequently tested and refined in an iterative process. First, a model was developed and deployed for classifying the domains of academic publications. Then, a SciBERT model was fine-tuned and deployed for generating the technology-transfer summaries of the same publications. \textit{GreatAI} had been proven helpful; therefore, after feeding back the insights gained into its design, it was turned into an open-source library. Furthermore, \textit{GreatAI} has been successfully integrated into every production deployment of ScoutinScience since then and receives thousands of monthly downloads. +We hypothesised that presenting a library which implements best practices and is also optimised for ease of adoption could help increase the overall quality of industrial AI/ML deployments. To test this, we designed and implemented a framework based on the principles of cognitive science and the prior art of software design. Subsequently, we tested and refined the design in an iterative process. First, we developed and deployed a model for classifying the domains of academic publications. Then, we fine-tuned and deployed a SciBERT model for generating publications' technology-transfer summaries. \textit{GreatAI} had been proven helpful; therefore, after feeding back the insights gained into its design, we turned it into an open-source library. Furthermore, \textit{GreatAI} has been successfully integrated into every production deployment of ScoutinScience since then and receives thousands of monthly downloads. -During the refinement of the framework, six previously unaddressed AI/ML deployment best practices were identified. Including these, the framework fully implements 17 best practices while it provides support for another 16. The value provided by implementing or helping to implement these practices was validated through interviews with ten industry professionals from various subfields. +During the refinement of the framework, six previously unaddressed AI/ML deployment best practices were identified. Including these, the framework fully implements 17 best practices while it provides support for another 16. We validated the value provided by implementing or helping to implement these practices through interviews with ten industry professionals from various subfields. -The interview participants completed two questionnaires, the results of one of which indicated that using \textit{GreatAI} in an example task increased the number of implemented best practices, on average, by 49\% compared with their latest project. The technology acceptance model was also calculated for the context; a significantly strong correlation was measured between the perceived ease of use, the perceived utility and the intention to use dimensions. Overall, proving that ease of use is just as important as core functionality when it comes to adopting AI deployment frameworks. +The interview participants completed two questionnaires, the results of one of which indicated that using \textit{GreatAI} in an example task increased the number of implemented best practices, on average, by 49\% compared with their latest project. We also calculated the technology acceptance model of the context; a significantly strong correlation was measured between the \textit{perceived ease of use}, the \textit{perceived utility} and the \textit{intention to use} dimensions. Overall, proving that ease of use is just as important as core functionality when adopting AI deployment frameworks. -The open-ended exit interviews revealed that value can be derived from the library even in its current form and that the API's design has the opportunity to generalise to other fields of industrial AI/ML applications. However, they also highlighted that adoption issues do not necessarily come from a lack of willingness but a lack of awareness. Even if the returns achievable from good deployments are well worth the investment. Nevertheless, this value proposition needs to be conveyed and proved to data science professionals and technical decision-makers; and \textit{GreatAI} might just be the ideal candidate for that. +The open-ended exit interviews revealed that value can be derived from the library even in its current form and that the API's design has the opportunity to generalise to other fields of industrial AI/ML applications. However, they also highlighted that adoption issues do not necessarily come from a lack of willingness but a lack of awareness. Even if the returns achievable from good deployments are well worth the investment. Nevertheless, this value proposition needs to be conveyed and proved to data science professionals and technical decision-makers; and \textit{GreatAI} might just be the ideal candidate for doing that. -\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments. At the same time, it also saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is feasible by designing narrower and deeper APIs. +\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps needed for robust and improvable deployments. At the same time, it also saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is feasible by designing narrower and deeper APIs. Good deployments benefit all of us. Accordingly, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results have shown --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle with a focus on adoptability. Having automated implementations, even if for just the straightforward best practices, leaves professionals additional time to tackle the more complex deployment challenges and fewer opportunities to miss critical steps. 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zw}8C6ldgRcf&JgTM`^y3l)mG&uhA=Ax#R*TZSeE9ncFR5HdHjQ(F%x z$hZB=-x7OI2w%(OI+$P!>7}rq%a)FUGMsm=ua^m(^6a^XTF|zQktK#VgfwXBZxjGW z;j!x}k+8BQwT=f0F59Xz(>B)55LN=kU=F=*A=;Ijr)CK-!5ggpz3!gI-na&Vodam1 zD^5jsuzCG}2J1Fk)Lsy`zuww2EP-CUmcG1Rh#VJYNig_8X50dNSIpKV5ODL1#^BO+obs>g0jMJv9L0; zv2nAorL`r3lKvmrdYA}G0&4#M53>pA{a;v=i7^N$h4}DT2fQpid~`1s$d5PB!T*8T GIR6)CpNdrg diff --git a/docs/thesis/frontpage/frontpage.tex b/docs/thesis/frontpage/frontpage.tex index 4b8e093..65d95c8 100644 --- a/docs/thesis/frontpage/frontpage.tex +++ b/docs/thesis/frontpage/frontpage.tex @@ -53,7 +53,7 @@ András Schmelczer s3052249 \\[1ex] \bree{Date}% -\today +30/09/2022 \\[1ex] \bree{Specialisation}% Advanced Computing and Systems diff --git a/docs/thesis/main.tex b/docs/thesis/main.tex index 69bafa0..d6f77b7 100644 --- a/docs/thesis/main.tex +++ b/docs/thesis/main.tex @@ -163,7 +163,7 @@ Leonardo Pohl, Lion Cassens, László Radnai, Máté Wolf, -and Olivér Angyal, +and Olivér Angyal for participating and providing insightful feedback in our interviews. \input{chapters/1_introduction} diff --git a/docs/thesis/ref.bib b/docs/thesis/ref.bib index 00aae66..9a419d3 100644 --- a/docs/thesis/ref.bib +++ b/docs/thesis/ref.bib @@ -902,3 +902,18 @@ numpages = {3} year={2020}, publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals} } + +@book{russell2010artificial, + title={Artificial intelligence a modern approach}, + author={Russell, Stuart J}, + year={2010}, + publisher={Pearson Education, Inc.} +} + +@book{momjian2001postgresql, + title={PostgreSQL: introduction and concepts}, + author={Momjian, Bruce}, + volume={192}, + year={2001}, + publisher={Addison-Wesley New York} +} From a73881a28e9e36e7d0d4fb1da72618226eb30a24 Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Sun, 18 Sep 2022 16:13:51 +0200 Subject: [PATCH 22/31] Minor consistency improvements --- docs/thesis/chapters/1_introduction.tex | 4 ++-- docs/thesis/chapters/2_background.tex | 2 +- docs/thesis/chapters/4_design.tex | 2 +- docs/thesis/chapters/5_cases/main.tex | 4 ++-- docs/thesis/chapters/5_cases/naive-bayes.tex | 2 +- docs/thesis/chapters/5_cases/scibert.tex | 6 +++--- docs/thesis/chapters/6_results.tex | 2 +- 7 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index 8a4a40f..cf9c659 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -10,9 +10,9 @@ This thesis sets out to investigate the reasons behind the apparent asymmetry be Therefore, we design a software framework called \href{https://github.com/schmelczer/great-ai}{\textit{GreatAI}} and present it in this thesis. The principal motivation behind the construction of \textit{GreatAI} is to facilitate the responsible and robust deployment of algorithms and models by designing a more accessible API in an attempt to overcome the practical drawbacks of other similar frameworks. Its name stands for its main aim: to assist easily creating \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated, and \underline{T}rustworthy AI deployments. -The utility of \textit{GreatAI} is examined and refined using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in two case studies concerning the natural language processing (NLP) pipeline of a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the broader applicability and generalisability of the design. +The utility of \textit{GreatAI} is examined and refined using the principles of design science methodology \cite{wieringa2014design} through iteratively designing its API and implementation in two case studies concerning the natural language processing (NLP) pipeline of a commercial product in collaboration with \href{https://scoutinscience.com/}{ScoutinScience B.V.} The goal of the aforementioned software suite is to evaluate technology-transfer opportunities in scientific publications. Subsequently, interviews are conducted with practitioners to validate the broader applicability and generalisability of the design. -The choice of case study subject is no coincidence; while working on the ScoutinScience platform for the last two years, my colleagues and I have increasingly noticed the same recurring challenges in deploying and operating AI/ML pipelines. This has motivated me to pursue a general solution. Considering that the company's predominant field is NLP, the case studies, and hence, the prototype of \textit{GreatAI} will also focus primarily on deploying NLP models. Nonetheless, the motivation for creating a general solution for all AI/ML contexts remains and will be taken into account every step of the way. +The choice of case study subject is no coincidence; while working on the ScoutinScience Platform for the last two years, my colleagues and I have increasingly noticed the same recurring challenges in deploying and operating AI/ML pipelines. This has motivated me to pursue a general solution. Considering that the company's predominant field is NLP, the case studies, and hence, the prototype of \textit{GreatAI} will also focus primarily on deploying NLP models. Nonetheless, the motivation for creating a general solution for all AI/ML contexts remains and will be taken into account every step of the way. \section{Research questions} diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 25220d5..acef523 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -65,7 +65,7 @@ No DevOps dependencies\textsuperscript{4}& & & Luckily, the open-source scene of AI/ML/DS tools, libraries, frameworks, and platforms is thriving. Additionally, there is a considerable number of closed-source --- usually platforms-as-a-service (PaaS) --- solutions next to them. Let us look at some prominent examples. Table \ref{table:platform-comparison} shows a high-level comparison of frameworks along the dimensions in which practitioners reportedly face difficulties in the \textit{Deployment} stage of the CRISP-DM model \cite{wirth2000crisp}. -IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a UI for authoring models. The restrictions caused by the encapsulation of the entire process can be severe: the challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a UI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. +IBM's AutoAI \cite{wang2020autoai} promises to provide automation for the entire machine learning lifecycle, including deployment. It is a closed-sourced, paid service which --- from their documentation --- seems to focus primarily on non-technical users by providing them with a graphical user interface (GUI) for authoring models. The restrictions caused by the encapsulation of the entire process can be severe: the challenges of integration were emphasised above \cite{sculley2015hidden}. Additionally, an engineer working on Microsoft's comparable solution, the Azure ML Studio, highlighted that once users gain enough understanding of ML, such visual tools can get in their way, and they may need to seek out other solutions \cite{amershi2019software}. Unfortunately, the main value proposition of Azure ML Studio is also to provide a GUI for laypeople, and it has also been set to be retired by 2024. Its successor is Azure Machine Learning which shares many similarities with AWS's SageMaker suite \cite{joshi2020amazon}. SageMaker offers the most comprehensive suite of tools and services; most importantly, it has a set of features called \textit{AWS SageMaker MLOps}. This provides easy and/or default implementations for multiple industry best practices described in \cite{serban2020adoption,serban2021practices,john2020ai}. Among others, it promotes using CI/CD, model monitoring, tracing, model versioning, storing both data and models on shared infrastructure, numerous collaboration tools, etc. Nonetheless, SageMaker does not enjoy universal adoption, as indicated by the survey data. The cause of this may be the lack of a self-hosting option and its relatively high prices: many companies prefer on-premise hosting for privacy, and financial reasons \cite{bosch2021engineering}. Additionally, vendor lock-in and possibly --- in the case where it is not already used for the project --- the initial effort required for setting up AWS integration could be likely deterrents. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 41d20ff..0f15901 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -98,7 +98,7 @@ Although API design has been the central subject so far, it is worth remembering The general theme in the implementation is that each explicit best practice should have its distinct, loosely-coupled functions or classes. When collaboration opportunities arise, such as persisting the model versions (\nth{1} component) into prediction traces (\nth{2} component), there are three primary conduits for realising them. These are the \texttt{context} object responsible for the global configuration per process, the \texttt{FunctionMetadataStore} specifying the expected behaviour of each prediction function, and finally the \texttt{TracingContext} that is created anew for each prediction input (session). -After refining the framework with feedback gathered from case studies and users, we will end up with the core architecture presented in Figure \ref{fig:architecture}. The implementation is mixed-paradigm, combining the expressiveness of functional and the design patterns of object-oriented programming (OOP) in order to maintain an overall low complexity. Reflection is also utilised, especially for run-time type-checking and generating the API definitions and Dashboard components. Regardless, the architecture is still presented with a syntax similar to the class diagrams of UML2 \cite{Rumbaugh2004} because it provides the freedom to express even the non-OOP design aspects. +After refining the framework with feedback gathered from case studies and users, we will end up with the core architecture presented in Figure \ref{fig:architecture}. The implementation is mixed-paradigm, combining the expressiveness of functional and the design patterns of object-oriented programming (OOP) in order to maintain an overall low complexity. Reflection is also utilised, especially for run-time type-checking and generating the API definitions and dashboard components. Regardless, the architecture is still presented with a syntax similar to the class diagrams of UML2 \cite{Rumbaugh2004} because it provides the freedom to express even the non-OOP design aspects. For the sake of brevity, Figure \ref{fig:architecture} does not show all fields, and some related entities have been combined, e.g. the \textit{GroundTruthAPI} box represents the \texttt{add\_ground\_truth}, \texttt{query\_ground\_truth}, and \texttt{delete\_ground\_truth} functions. The client project can also access most of the presented entities, but these optional dependency arrows are not shown in the diagram. The \texttt{utilities} submodule is also left unexpanded; almost all of its functions are orthogonal with the exception of \texttt{parallel\_map}. The latter follows a textbook producer-consumer model facilitated by queues and event signals \cite{wang2020producer}. diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index c8cf9d4..4b460d6 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -1,12 +1,12 @@ \chapter{The ScoutinScience Platform} \label{chapter:case} -The core product of ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} is its Platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are technology-transfer offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporations (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology-transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. +The core product of ScoutinScience B.V.\footnote{\href{https://scoutinscience.com/}{scoutinscience.com}} is its Platform\footnote{\href{https://dashboard.scoutinscience.com/}{dashboard.scoutinscience.com}}. The clients are Technology Transfer Offices of Dutch and German universities, government organisations (e.g. Wetsus), and corporations (e.g. Heraeus Group and Ruma Rubber B.V.) who wish to extend the scope of their R\&D activities. ScoutinScience connects to multiple data sources of academic publications and integrates them into a single database. Each new publication is evaluated with a suite of AI components that ultimately determine its technology-transfer potential. Other markers are also extracted that help the users get a quick overview of the authors, topics, and contributions of a given piece of research. Each client organisation gets to see a different filtered view of this database ranked by the predicted probability of technology-transfer opportunities being present. The main motivation is to make these business developers' and other professionals' work more efficient by showing them which papers have the highest chance of being considered interesting by them. To achieve this, we have a service-based architecture \cite{kleppmann2017designing} on the backend-side --- apart from the data integration, communication, and business logic --- it is made up of services wrapping simpler (phrase-matching, Naïve Bayes) and more sophisticated (conditional random fields, transformer) models. As we will soon see, these can also depend on each other; for instance, based on the predicted scientific domain, a different model can be chosen for scoring certain aspects of papers. -I was among the first engineers on the team, which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems, and it is also larger than it should be. This has motivated me to investigate the state-of-the-art, and I have found that it is insufficient in many cases. Since the ScoutinScience platform is a typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution that can hopefully advance the state-of-the-art. +I was among the first engineers on the team, which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems, and it is also larger than it should be. This has motivated me to investigate the state-of-the-art, and I have found that it is insufficient in many cases. Since the ScoutinScience Platform is a typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution that can hopefully advance the state-of-the-art. This chapter describes the process of designing \textit{GreatAI} and how it fits into real-life use cases. First, a simple experiment is presented which investigates a Naïve Bayes classifier's \cite{maron1961automatic} accuracy at predicting the fields of papers. This leads to the implementation of a software service that is deployed to production. Subsequently, as the feature set of the library grows and matures, a more complex component is developed concerning text-summarisation with SciBERT \cite{beltagy2019scibert}. After implementing each case, the insights gained are fed back into the library's design. diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index ae7b95f..10536c6 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -48,7 +48,7 @@ MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{belt \subsection{Methods} -Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with the prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. +Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with the prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience Platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model --- Multinomial Naïve Bayes (MNB) --- is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took 71 lines of code to create, hyperparameter optimise, and test a text classifier.\footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index 0de356b..10af01e 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -27,7 +27,7 @@ In order to compile a new dataset, experts are asked to judge sentences that pas \centering \includegraphics[width=0.75\linewidth]{figures/annotator.png} \captionsetup{width=.9\linewidth} - \caption{The annotator UI showing a single sentence and the two labels that can be assigned based on its relevance to technology-transfer.} + \caption{The annotator GUI showing a single sentence and the two labels that can be assigned based on its relevance to technology-transfer.} \label{fig:annotator} \end{figure} @@ -99,10 +99,10 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr \subsection{Deployment} -To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. +To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the Dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. \begin{displayquote} -\textbf{Design inspiration} In order to get insights into their inner workings, Hugging Face models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the UI are calculated with this expression: +\textbf{Design inspiration} In order to get insights into their inner workings, Hugging Face models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the GUI are calculated with this expression: \begin{minted}[ baselinestretch=1, ]{python} diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index 383255a..8a38ee2 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -148,7 +148,7 @@ The effortless parallel feature extraction and large file handling support were When reflecting on the framework from a bird's eye view, the generality and extensibility of the API were emphasised. As explained by a senior engineer, this is mainly because once you commit to using it, it is important not to find yourself at a dead end for a specific use case forcing you to look for a different library. However, two participants also noted that for complete generality, \texttt{MATLAB} support would be necessary. Regarding non-functional features, private hosting (especially in banking and government), open-source auditability, and good scalability (by means of an external database) were the top subjects of praise. -\paragraph{API} Regarding the surface through which clients interact with the library, the feedback is also positive but more nuanced. Many participants liked that the functions' behaviour is easy to guess from their names. The decorator syntax caused minor confusion but consulting the documentation solved the issues in all three cases. The CLI app \texttt{great-ai} was appreciated for having a close to trivial signature; the participant noted that she strives to use as few CLI commands as feasible. Surprisingly, even the practitioners with more data science background appreciated the Docker support. Nonetheless, one expert had a feature request for a configuration UI because his colleagues are used to handling MATLAB App Designer applications. +\paragraph{API} Regarding the surface through which clients interact with the library, the feedback is also positive but more nuanced. Many participants liked that the functions' behaviour is easy to guess from their names. The decorator syntax caused minor confusion but consulting the documentation solved the issues in all three cases. The CLI app \texttt{great-ai} was appreciated for having a close to trivial signature; the participant noted that she strives to use as few CLI commands as feasible. Surprisingly, even the practitioners with more data science background appreciated the Docker support. Nonetheless, one expert had a feature request for a configuration GUI because his colleagues are used to handling MATLAB App Designer applications. The recurring theme of the discussions focused on the question of ``\textit{How simple is too simple?}''. The argument is that an API cannot be simpler than the domain in which it exists. More precisely, it can only be simpler at the cost of losing transparency. Let us take the example of saving models using \texttt{save\_model()}. If a project is set up correctly, it either has an initial \texttt{configure()} call to the storage provider backend, or it has an appropriately named credentials file in the project's root, for instance, \texttt{s3.ini} or \texttt{mongo.ini}. Once set up, it is trivial to use as long as we do not divert from the happy path. However, if an issue arises, such as an upgrade or migration of MongoDB, debugging the application is non-trivial for its lack of transparency. 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| 2 +- docs/thesis/chapters/5_cases/scibert.tex | 1 + docs/thesis/chapters/6_results.tex | 16 +- docs/thesis/chapters/7_conclusion.tex | 2 +- docs/thesis/chapters/appendix.tex | 2 +- docs/thesis/figures/architecture.png | Bin 0 -> 797928 bytes docs/thesis/figures/design-cycle.drawio.png | Bin 0 -> 436504 bytes docs/thesis/figures/technologies.png | Bin 0 -> 243708 bytes docs/thesis/frontpage/frontpage.pdf | Bin 103747 -> 103746 bytes docs/thesis/main.pdf | Bin 4629835 -> 5558291 bytes docs/thesis/main.tex | 2 + docs/thesis/ref.bib | 18 + 20 files changed, 1013 insertions(+), 23 deletions(-) create mode 100644 docs/media/architecture.drawio.svg create mode 100644 docs/media/design-cycle.drawio.png create mode 100644 docs/thesis/figures/architecture.png create mode 100644 docs/thesis/figures/design-cycle.drawio.png create mode 100644 docs/thesis/figures/technologies.png diff --git a/docs/media/architecture.drawio.svg b/docs/media/architecture.drawio.svg new file mode 100644 index 0000000..15742a9 --- /dev/null +++ b/docs/media/architecture.drawio.svg @@ -0,0 +1,927 @@ + + + + + + + + + + + + + + + + + + + +
+
+
+ User +
+
+
+
+ + User + +
+
+ + + + +
+
+
+

+ + <<Interface>> + +
+ + TracingDatabaseDriver + +

+

+
+

+
+
+
+
+ + <<Interface>>... + +
+
+ + + + +
+
+
+ MongoDbDriver +
+
+
+
+ + MongoDbDriver + +
+
+ + + + +
+
+
+ ParallelTinyDbDriver +
+
+
+
+ + ParallelTinyDbDriver + +
+
+ + + + + + + + + + +
+
+
+ + + Context + + +
+
+
+
+ + Context + +
+
+ + + + +
+
+
+ configure() +
+
+
+
+ + configure() + +
+
+ + + + + +
+
+
+ Create +
+
+
+
+ + Create + +
+
+ + + + + + GreatAI + + + + + + app: WSGI implementing web service + + + + + + + create(function): GreatAI + + + + __call__(...): ... + + + + process_batch([...]): [...] + + + + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + + TracingContext + + + + + + + create(function): GreatAI + + + + + + + + +
+
+
+ static +
+
+
+
+ + static + +
+
+ + + +
+
+
+ current per thread +
+ per task +
+
+
+
+ + current per thread... + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + +
+
+
+ User-defined function +
+
+
+
+ + User-defined function + +
+
+ + + + + +
+
+
+ Call (optional) +
+
+
+
+ + Call (optional) + +
+
+ + + + + +
+
+
+ Create +
+
+
+
+ + Create + +
+
+ + + +
+
+
+ + Client project + +
+
+
+
+ + Client project + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + +
+
+
+

+ + <<abstract>> + +
+ + LargeFileBase + +

+

+
+

+
+
+
+
+ + <<abstract>>... + +
+
+ + + + +
+
+
+ LargeFileLocal +
+
+
+
+ + LargeFileLocal + +
+
+ + + + + + +
+
+
+ LargeFileS3 +
+
+
+
+ + LargeFileS3 + +
+
+ + + + +
+
+
+ LargeFileMongoDb +
+
+
+
+ + LargeFileMongoDb + +
+
+ + + + + + + + + + +
+
+
+

+ + <<implicit interface>> + +
+ + GreatAiBehaviourModifiers + +

+

+
+

+
+
+
+
+ + <<implicit interface>>... + +
+
+ + + + +
+
+
+ AsyncLruCache +
+
+
+
+ + AsyncLruCache + +
+
+ + + + +
+
+
+ InvocationTracer +
+
+
+
+ + InvocationTracer + +
+
+ + + + +
+
+
+ UseModel +
+
+
+
+ + UseModel + +
+
+ + + + +
+
+
+ MetricExporter +
+
+
+
+ + MetricExporter + +
+
+ + + + +
+
+
+ ParameterDecorator +
+
+
+
+ + ParameterDecorator + +
+
+ + + + + + + + + + + + + + + + +
+
+
+ 1 +
+
+
+
+ + 1 + +
+
+ + + + + + +
+
+
+ TracesAPI +
+
+
+
+ + TracesAPI + +
+
+ + + + +
+
+
+ MetadataAPI +
+
+
+
+ + MetadataAPI + +
+
+ + + + +
+
+
+ FeedbackAPI +
+
+
+
+ + FeedbackAPI + +
+
+ + + + +
+
+
+ Dashboard +
+
+
+
+ + Dashboard + +
+
+ + + + +
+
+
+ Documentation +
+
+
+
+ + Documentation + +
+
+ + + + +
+
+
+ views +
+
+
+
+ + views + +
+
+ + + + +
+
+
+ + GroundTruthAPI + +
+
+
+
+ + GroundTruthAPI + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + +
+
+
+ utilities +
+
+
+
+ + utilities + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + + + +
+
+
+ + + FunctionMetadata + + +
+
+
+
+ + FunctionMetadata + +
+
+ + + + + + +
+
+
+ RemoteGreatAI +
+
+
+
+ + RemoteGreatAI + +
+
+ + + + + + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+ + + + + +
+
+
+ Use +
+
+
+
+ + Use + +
+
+
+ + + + + Viewer does not support full SVG 1.1 + + + +
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docs/how-to-guides/call-remote.md | 16 ++++++++-------- docs/how-to-guides/configure-service.md | 10 +++++----- docs/how-to-guides/create-service.md | 22 +++++++++++----------- docs/how-to-guides/handle-training-data.md | 10 +++++----- docs/how-to-guides/install.md | 10 +++++----- docs/how-to-guides/large-file.md | 20 ++++++++++---------- docs/how-to-guides/use-service.md | 7 +++---- docs/index.md | 14 +++++++------- docs/tutorial/index.md | 10 +++++----- 12 files changed, 73 insertions(+), 74 deletions(-) diff --git a/README.md b/README.md index 77241f4..0bb44c4 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ [![Sonar line coverage](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=coverage)](https://sonar.scoutinscience.com/dashboard?id=great-ai) [![Sonar LoC](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=ncloc)](https://sonar.scoutinscience.com/dashboard?id=great-ai) -Applying AI is becoming increasingly easier but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing unintended biases. GreatAI helps fixing this by allowing you to easily transform your prototype AI code into production-ready software. +Applying AI is becoming increasingly more accessible, but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing unintended biases. GreatAI helps fix this by allowing you to easily transform your prototype AI code into production-ready software. ## Example @@ -27,7 +27,7 @@ def greeter(name: str) -> str: return f"Hello {name}!" ``` -Start it by executing `great-ai demo.py`, find the dashboard at [http://localhost:6060](http://localhost:6060/dashboard). +Start it by executing `great-ai demo.py`, and find the dashboard at [http://localhost:6060](http://localhost:6060/dashboard). ![demo screen capture](https://raw.githubusercontent.com/schmelczer/great-ai/main/docs/media/demo.gif) @@ -39,7 +39,7 @@ That's it. Your GreatAI service is _nearly_ ready for production use. Many of th ![scope of GreatAI](https://raw.githubusercontent.com/schmelczer/great-ai/main/docs/media/scope-simple.drawio.svg) -GreatAI fits between the prototype and deployment phases of your AI development lifecycle. This is highlighted with blue in the diagram. Here, several best practices can be automatically implemented aiming to achieve the following attributes: +GreatAI fits between the prototype and deployment phases of your AI development lifecycle. This is highlighted in blue in the diagram. Here, several best practices can be automatically implemented, aiming to achieve the following attributes: - **G**eneral: use any Python library without restriction - **R**obust: have error-handling and well-tested utilities out-of-the-box @@ -49,9 +49,9 @@ GreatAI fits between the prototype and deployment phases of your AI development ## Why GreatAI? -There are other, existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker) and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core) provide the most comprehensive suite of features. If you have the opportunity to use them, do that because they're great. +There are other existing solutions aiming to facilitate this phase. [Amazon SageMaker](https://aws.amazon.com/sagemaker) and [Seldon Core](https://www.seldon.io/solutions/open-source-projects/core) provide the most comprehensive suite of features. If you have the opportunity to use them, do that because they're great. -However, [research indicates](https://great-ai.scoutinscience.com) that professionals rarely use them. This may be due to their inherent setup and operating complexity. **GreatAI is designed to be as simple to use as possible.** Its clear, high-level API and sensible default configuration makes it extremely easy to start using. Despite its relative simplicity over Seldon Core, it still implements many of the [SE4ML best practices](https://se-ml.github.io), and thus, can meaningfully improve your deployment without requiring prohibitively large effort. +However, [research indicates](https://great-ai.scoutinscience.com) that professionals rarely use them. This may be due to their inherent setup and operational complexity. **GreatAI is designed to be as simple to use as possible.** Its straightforward, high-level API and sensible default configuration make it easy to start using. Despite its relative simplicity over Seldon Core, it still implements many of the [SE4ML best practices](https://se-ml.github.io), and thus, can meaningfully improve your deployment without requiring prohibitively great effort. ## [Learn more](https://great-ai.scoutinscience.com) diff --git a/docs/examples/scibert/index.md b/docs/examples/scibert/index.md index 4afb22a..9332607 100644 --- a/docs/examples/scibert/index.md +++ b/docs/examples/scibert/index.md @@ -1,23 +1,23 @@ # Summarising scientific publications from a tech-transfer perspective -This is a simplified example illustrating how `great-ai` is used in practice at [ScoutinScience](https://www.scoutinscience.com/){ target=_blank }. The subpages show `great-ai` in action by going over the life-cycle of finetuning and deploying a BERT-based software service. +This is a simplified example illustrating how `great-ai` is used in practice at [ScoutinScience](https://www.scoutinscience.com/){ target=_blank }. The subpages show `great-ai` in action by going over the lifecycle of fine-tuning and deploying a BERT-based software service. ??? note "Propriety data" - The purpose of this example is to show you different ways in which `great-ai` can assist you. The exact NLP task being solved is not central. Stemming from this, and from the difficult nature of obtaining appropriate training data, the propriety dataset used for the experiments is not shared. + The purpose of this example is to show you different ways in which `great-ai` can assist you. The exact NLP task being solved is not central. Stemming from this and from the difficult nature of obtaining appropriate training data, the propriety dataset used for the experiments is not shared. ## Objectives 1. You will see how the [great_ai.utilities](/reference/utilities) can integrate into your Data Science workflow. 2. You will see how [great_ai.large_file](/reference/large-file) can be used to version and store your trained model. -3. You will see how [GreatAI][great_ai.GreatAI] should be used prepare your model for a robust and responsible deployment. +3. You will see how [GreatAI][great_ai.GreatAI] should be used to prepare your model for a robust and responsible deployment. 4. You will see multiple ways of customising your deployment. ## Overview -One of the core features of the ScoutinScience platform is summarising research papers from a tech-transfer perspective. In short, extractive summarisation is preferred using a binary classifier trained on clients' judgement of sentence interestingness. Thus, documents are sentences and the expected output is a binary label showing whether a sentence is "worthy" of being in the tech-transfer summary. Providing an explanation for each decision is imperative since ScoutinScience embraces applying only explainable AI (XAI) methods wherever feasible. +One of the core features of the ScoutinScience platform is summarising research papers from a tech-transfer perspective. In short, extractive summarisation is preferred using a binary classifier trained on clients' judgement of sentence interestingness. Thus, documents are sentences, and the expected output is a binary label showing whether a sentence is "worthy" of being in the tech-transfer summary. Explaining each decision is imperative since ScoutinScience embraces applying only explainable AI (XAI) methods wherever feasible. !!! success - You are ready to start the tutorial. Feel free to come back to the [summary](#summary) section once you're finished. + You are ready to start the tutorial. Feel free to return to the [summary](#summary) section once you're finished.

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z5nRk~FrtD9w>M*Z`#69%eqj5frT~_*8Q2mcMhgmMD%uf_bMoGO_dpC}DKj&Z#zcB` z!Pvo%y9 SVbNav;9kQY_}~9@=6?WJI;l7S literal 0 HcmV?d00001 diff --git a/docs/thesis/main.tex b/docs/thesis/main.tex index 1a5487f..7eae4cc 100644 --- a/docs/thesis/main.tex +++ b/docs/thesis/main.tex @@ -145,7 +145,18 @@ \tableofcontents \chapter*{Acknowledgements} -I wish to extend my special thanks to my supervisors, Prof. dr. ir. Joost Visser and Dr. Suzan Verberne, for their invaluable assistance and guidance. I would also like to thank ScoutinScience B.V. for our fruitful collaboration and for allowing me to use their software for experimentation, validation, and demonstration purposes. Last but not least, I would like to individually thank Name, Name, ..., and Name for participating and providing insightful feedback in our interviews. +I wish to extend my special thanks to my supervisors, Prof. dr. ir. Joost Visser and Dr. Suzan Verberne, for their invaluable assistance and guidance. I would also like to thank ScoutinScience B.V. for our fruitful collaboration and for allowing me to use their software for experimentation, validation, and demonstration purposes. Last but not least, I would like to individually thank +Ádám Kovács, +Balázs Csomor, +Bálint Bakcsa, +Bendegúz Bendicsek, +Joana Trashlieva, +Leonardo Pohl, +Lion Cassens, +László Radnai, +Máté Wolf, +and Olivér Angyal, +for participating and providing insightful feedback in our interviews. \input{chapters/1_introduction} \input{chapters/2_background} From 08a40bfaafeb1b76ca1602b332945b0b2f1d0f4f Mon Sep 17 00:00:00 2001 From: Andras Schmelczer Date: Fri, 19 Aug 2022 16:36:28 +0200 Subject: [PATCH 09/31] Finish first draft --- docs/surveys/surveys.ipynb | 88 ++++++++- docs/thesis/chapters/0_abstract.tex | 14 +- docs/thesis/chapters/1_introduction.tex | 6 +- docs/thesis/chapters/2_background.tex | 2 +- docs/thesis/chapters/3_methods.tex | 4 +- docs/thesis/chapters/4_design.tex | 22 +-- docs/thesis/chapters/5_cases/main.tex | 2 +- docs/thesis/chapters/5_cases/naive-bayes.tex | 56 +++--- docs/thesis/chapters/5_cases/scibert.tex | 34 ++-- docs/thesis/chapters/6_results.tex | 154 +++++++--------- docs/thesis/chapters/7_conclusion.tex | 16 +- docs/thesis/comments.txt | 177 ++++++++++++++++++- docs/thesis/main.pdf | Bin 4473887 -> 4631214 bytes docs/thesis/ref.bib | 32 ++-- 14 files changed, 420 insertions(+), 187 deletions(-) diff --git a/docs/surveys/surveys.ipynb b/docs/surveys/surveys.ipynb index f9133aa..17bd06a 100644 --- a/docs/surveys/surveys.ipynb +++ b/docs/surveys/surveys.ipynb @@ -553,6 +553,13 @@ "execution_count": 4, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.5157738095238095\n" + ] + }, { "data": { "text/plain": [ @@ -586,6 +593,8 @@ "\n", "X = [x for x, y in best_practice_score_se]\n", "Y = [y for x, y in best_practice_score_se]\n", + "\n", + "print(sum(Y) / len(Y))\n", "sc = plt.scatter(X, Y, c=\"black\", s=[x * 50 for x, y in best_practice_score_ds])\n", "plt.ylabel(\"Ratio of implemented deployment best practices\")\n", "plt.xlabel(\"Years of professional software engineering experience\")\n", @@ -1136,7 +1145,10 @@ { "data": { "text/plain": [ - "(0.5515422017785757, 0.09838124227663879)" + "pu 6.125\n", + "peou 5.450\n", + "itu 5.950\n", + "dtype: float64" ] }, "execution_count": 10, @@ -1145,7 +1157,7 @@ } ], "source": [ - "stats.pearsonr(tam[\"peou\"], tam[\"pu\"])" + "tam[[\"pu\", \"peou\", \"itu\"]].mean()" ] }, { @@ -1156,7 +1168,10 @@ { "data": { "text/plain": [ - "(0.8066270322592023, 0.004809023073123024)" + "pu 6.375\n", + "peou 5.750\n", + "itu 6.250\n", + "dtype: float64" ] }, "execution_count": 11, @@ -1165,7 +1180,7 @@ } ], "source": [ - "stats.pearsonr(tam[\"peou\"], tam[\"itu\"])" + "tam[[\"pu\", \"peou\", \"itu\"]].median()" ] }, { @@ -1176,7 +1191,10 @@ { "data": { "text/plain": [ - "(0.7880605510627579, 0.006774486564715021)" + "pu 0.859990\n", + "peou 1.039498\n", + "itu 1.321825\n", + "dtype: float64" ] }, "execution_count": 12, @@ -1184,6 +1202,66 @@ "output_type": "execute_result" } ], + "source": [ + "tam[[\"pu\", \"peou\", \"itu\"]].std()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.5515422017785757, 0.09838124227663879)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats.pearsonr(tam[\"peou\"], tam[\"pu\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8066270322592023, 0.004809023073123024)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stats.pearsonr(tam[\"peou\"], tam[\"itu\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.7880605510627579, 0.006774486564715021)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "stats.pearsonr(tam[\"pu\"], tam[\"itu\"])" ] diff --git a/docs/thesis/chapters/0_abstract.tex b/docs/thesis/chapters/0_abstract.tex index e3d3ecf..7e05a31 100644 --- a/docs/thesis/chapters/0_abstract.tex +++ b/docs/thesis/chapters/0_abstract.tex @@ -1,14 +1,18 @@ \begin{abstract} \absdiv{Background} -Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of frameworks accessibly exposing state-of-the-art models. In order to achieve robust production deployments, the successful integration of AI components demands strong engineering methods. Concerningly, a tendency seems to be unfolding: even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. +Despite its long-standing history, artificial intelligence (AI) has only recently started enjoying widespread industry awareness and adoption, partly thanks to the prevalence of frameworks that accessibly expose state-of-the-art models. However, the transition from prototypes to production-ready AI services is still a source of struggle across the industry. Even though professionals already have access to frameworks for deploying AI correctly, case studies and developer surveys have found that many deployments do not follow best practices. + \absdiv{Objective} -This thesis investigates the reasons behind the asymmetry between the adoption of accessible AI libraries and existing reusable solutions to robust deployments. A software framework called \textit{GreatAI} is designed which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy AI deployments while attempting to overcome the practical drawbacks of its predecessors. +This thesis investigates the causes of and a possible resolution to the asymmetry between the adoption of accessible AI-libraries and reusable frameworks for AI deployments. The potential solution is validated through designing a library, called \textit{GreatAI}, which aims to facilitate \underline{G}eneral \underline{R}obust \underline{E}nd-to-end \underline{A}utomated \underline{T}rustworthy deployments while attempting to overcome the practical drawbacks of its predecessors. + \absdiv{Method} -The utility of \textit{GreatAI} is validated by applying the principles of design science methodology through iteratively designing it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with practitioners to validate the generalisability of the design. +The utility of \textit{GreatAI}'s design is validated by applying the principles of design science methodology through iteratively shaping it in a case study of a commercial text mining pipeline. Subsequently, interviews are conducted with ten practitioners for assessing its generalisability. + \absdiv{Results} -To do. +\textit{GreatAI} successfully helps implement 33 best practices through an accessible interface. These target the transition between the prototype and production phases of the AI development lifecycle. The feedback from professional data scientists and software engineers showed that ease of use and functionality are equally important in deciding to adopt deployment technologies and the proposed library was rated overwhelmingly positively in both dimensions. + \absdiv{Conclusions} -To do. +Increasing the overall maturity of industrial AI deployments by devising APIs with ease of adoption in mind is proved to be feasible. Additionally, the created software framework was deemed effective and a candidate for showcasing the utility of following best practices. \end{abstract} diff --git a/docs/thesis/chapters/1_introduction.tex b/docs/thesis/chapters/1_introduction.tex index bbc50c0..494e822 100644 --- a/docs/thesis/chapters/1_introduction.tex +++ b/docs/thesis/chapters/1_introduction.tex @@ -2,9 +2,9 @@ Artificial intelligence techniques have recently started enjoying widespread industry awareness and adoption; the use of AI is increasingly prevalent in all sectors \cite{wirtz2019artificial,bosch2021engineering}. The reasons behind this are manifold \cite{jordan2015machine}, to name a few: recent breakthroughs in deep learning (DL), increased public awareness, an abundance of available data, access to powerful low-cost commodity hardware, education, but most interestingly, the rise of high-level libraries making ready-to-use state-of-the-art (SOTA) models easily available. The latter practically abolishes the barrier of entry for applying AI --- and with that --- can help use cases in various areas. -However, the successful integration of AI components into production-ready applications demands strong engineering methods in order to achieve robust deployments \cite{serban2020adoption}. That is why it is as vital as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. +However, in order to achieve robust deployments, the successful integration of AI components into production-ready applications demands strong engineering methods \cite{serban2020adoption}. That is why it is as vital as ever to also focus on the quality and robustness of deployed models and software. For instance, the lack of a proper overview of data transformation steps may lead to suboptimal performance and to introducing unintended biases, which might contribute to the ever-increasing negative externality of misused AI \cite{o2016weapons}. -Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments does not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them correctly is as difficult and nuanced as ever. +Concerningly, a peculiar tendency seems to be unfolding: even though industry professionals already have access to numerous frameworks for deploying AI correctly and responsibly, case studies and developer surveys have found that a considerable fraction of deployments does not follow best practices \cite{serban2020adoption,haakman2021ai,amershi2019software,de2019understanding,sculley2015hidden}. Utilising state-of-the-art machine learning (ML) models has become reasonably simple; applying them correctly is as intricate and nuanced as ever. This thesis sets out to investigate the reasons behind the apparent asymmetry between industry adoption of accessible AI-libraries and existing reusable solutions for robust AI deployments. It is hypothesised that the primary reason for the underwhelming adoption rate of best practices is the short supply of professionals equally proficient in the domains of both data science and software engineering. Nevertheless, even without their presence, practitioners could rely on frameworks for automated mature deployment processes. However, the barrier of entry for using such existing libraries is too high, especially when compared with the simplicity of AI-libraries. @@ -25,7 +25,7 @@ I hypothesise that facilitating the adoption of AI deployment best practices is In this case, complexity refers to the difficulty faced by professionals (Data Scientists and Software Engineers alike) when integrating third-party libraries with their solutions. This could also be described as the barrier of entry or steepness of the learning curve. If the aforementioned hypothesis is correct, the adoption of best practices can be efficiently increased by decreasing this complexity. AI deployment best practices entail the technical steps that ought to be taken to achieve robust, end-to-end, automated, and trustworthy deployments. These are detailed in Section \ref{section:requirements}. -The existence question regarding the problem itself (\textbf{RQ1}) is answered by reviewing the literature of more than 30 published case studies in Chapter \ref{chapter:background}. \textbf{RQ2} and \textbf{RQ3} are closely connected, the design and evaluation phases utilised to answer them follow an iterative process. They are examined in Chapters \ref{chapter:design} and \ref{chapter:case} respectively. The final evaluation step is to ascertain the capability of the framework's design to generalise beyond a single subdomain and problem context. This question, \textbf{RQ4}, is investigated through interviews with industry professionals in Chapter \ref{section:interviews}. +The existence question regarding the problem itself (\textbf{RQ1}) is answered by reviewing the literature of more than 30 published case studies in Chapter \ref{chapter:background}. \textbf{RQ2} and \textbf{RQ3} are closely connected: the design and evaluation phases utilised to answer them follow an iterative process. They are examined in Chapters \ref{chapter:design} and \ref{chapter:case} respectively. The final evaluation step is to ascertain the capability of the framework's design to generalise beyond a single subdomain and problem context. This question, \textbf{RQ4}, is investigated through interviews with industry professionals in Chapter \ref{chapter:interviews}. \section{Structure} diff --git a/docs/thesis/chapters/2_background.tex b/docs/thesis/chapters/2_background.tex index 1fa187b..b2b37c1 100644 --- a/docs/thesis/chapters/2_background.tex +++ b/docs/thesis/chapters/2_background.tex @@ -14,7 +14,7 @@ It is not just these two packages, the list of readily available tools is vast: In contrast to this trend, the software landscape around packaging, deploying, and maintaining machine learning (ML) --- and in general --- data-heavy applications paints a different picture. Fortunately, the related issues and their ramifications have already been thoroughly investigated. -When looking at AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI; however, most modern AI applications are also ML applications. Hence, conflating the two terms may be slightly imprecise but usually not wrong.} code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. +When looking at AI/ML\footnote{The terms AI and ML are often not differentiated and are used as synonyms in practice, for instance, see this study by the FDA \cite{food2019proposed}. ML is a well-defined subdomain of AI. However, most modern AI applications are also ML applications, hence, conflating the two terms may be slightly imprecise but usually not wrong.} code in practice through the lens of technical debt, Sculley et al. \cite{sculley2015hidden} emphasise the repercussions of writing \textit{glue code} between the algorithms and different systems or libraries and define it as an anti-pattern. The consequence of this is the advice against using generic libraries because their rigid APIs may inhibit improvements, cause lock-in, and result in large amounts of glue code. This is a recurring theme in discussions with industry professionals. Haakman et al. \cite{haakman2021ai} interviewed 17 people at ING, which is a well-known fintech company undergoing a digital transformation to embrace AI. They found that the existing tools for ML do not meet the particularities of the field. For instance, a Feature Engineer working in the Data \& Analytics department explained that regular spreadsheets are preferred over existing solutions like MLFlow for keeping track of experiment results. The reason behind this is simplicity. Additionally, multiple other interviewees described the need to self-develop (or highly-customise) dashboards for monitoring deployed models, resulting in many non-reusable solutions across the company for the same problem. The authors conclude that there is a research gap between the ever-improving SOTA techniques and the challenges of developing real-world ML systems. In short, additional tool support is needed for facilitating the ML lifecycle. diff --git a/docs/thesis/chapters/3_methods.tex b/docs/thesis/chapters/3_methods.tex index b2b4b3f..3418016 100644 --- a/docs/thesis/chapters/3_methods.tex +++ b/docs/thesis/chapters/3_methods.tex @@ -14,7 +14,7 @@ in order to decrease the negative externality of misused AI.} The problem context is the difficulty in responsibly transitioning (while following best practices) from prototype industrial AI applications to production-ready deployments. With the possible treatment being libraries with high-level APIs and a set of default settings. It is important to note that \textit{GreatAI} is merely a proof-of-concept, and its aim is to serve as a proxy for the design decisions behind it. Through this, the design can be indirectly evaluated. Hopefully, a by-product will be a library that can be effectively applied to this problem context. -The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform with the aim of finding tech-transfer opportunities in academic publications. The primary inputs of the system as a whole are PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. +The practical cases used for the evaluation are further elaborated in Chapter \ref{chapter:case}. In short, they focus on individual components of a growing commercial platform which aims to find tech-transfer opportunities in academic publications. The primary input of the system as a whole is PDF files, while the output is a list of metrics describing various aspects of each paper, such as interesting sentences, scientific domains, and contributions. The result also includes a predicted score used for ranking. This ranking is subsequently processed by the business developers of Technology Transfer Offices (TTOs) of multiple Dutch and German universities, who later give feedback on the results. Overall, this problem context carries the properties of typical industry use-cases: it utilises a wide range of natural language processing methods, contains complex interactions between the services, benefits from the integration of end-to-end feedback, and has to provide the clients with a platform that they can rely on in their organisation's core processes. Since the final ranking affects real people, explainability and robustness are also central questions. @@ -24,7 +24,7 @@ Before generalising, the framework's design is iteratively refined using the fee To conclusively answer \textbf{RQ3} and \textbf{RQ4}, interviews are conducted with a population of software engineers and data scientists with varying levels of professional background. Since my colleagues and I are likely to have a bias for (or against) the proposed design, the first step of checking its applicability in other practical contexts is to ask the opinion of non-affiliated practitioners. -First, before their interview, interviewees are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI} as described in Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, participants are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. +First, before their interview, paricipants are requested to complete a questionnaire (shown in Appendix \ref{appendix:practices}) about their last completed AI project; the questions refer to the best practices implemented by \textit{GreatAI}. They are also advised to take a quick look at the tutorial page of the documentation. The interviews are divided into two halves. In the first part, after a brief introduction, interviewees are asked to solve a real-world task by finishing a partially completed example application using \textit{GreatAI}. They are also encouraged to think aloud so their feedback can be noted. Successfully completing the task creates a system implementing a known number of best practices. This way, the added value --- in terms of a larger number of implemented best practices --- can be quantitatively analysed by comparing the qualities of the finished implementation with the previously given answers. Notes are taken throughout the interviews and subsequently extended using reflective journaling \cite{halcomb2006verbatim} combined with thematic coding. After which, the insights from the interviewed professionals are distilled using the techniques of thematic analysis \cite{fereday2006demonstrating} following the methodologies of \cite{cruz2019catalog} and \cite{haakman2021ai}. These insights can then be combined with the numerical results to explain and elaborate on them. diff --git a/docs/thesis/chapters/4_design.tex b/docs/thesis/chapters/4_design.tex index 8c59818..5f94bc5 100644 --- a/docs/thesis/chapters/4_design.tex +++ b/docs/thesis/chapters/4_design.tex @@ -6,7 +6,7 @@ Providing users with a high level of abstraction is not unheard of in the domain As highlighted by several case studies in Chapter \ref{chapter:background}, the transition from prototypes to production-ready systems is often named as the source of unexpected struggle. Maybe it is not a coincidence that a significant portion of the SE4ML best practices should be implemented in this phase. Unfortunately, it is easy to gloss over them while tackling the underestimated difficulties of this \textit{transition}. Therefore, the aim of \textit{GreatAI} is to ease this step of the lifecycle. Consequently, its scope is limited to the \textit{transition} step. -There have been attempts that at least partially address this issue, however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. To have the best chance of providing an easy-to-adopt solution, the scope has to be well-defined and limited. To understand the API of a library, users first need to understand its aim, surface, and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. +There have been attempts that at least partially address this issue; however, as we have seen in Chapter \ref{chapter:background}, these have limitations either from the perspective of best practices or stemming from their difficulty in being adopted. The scope has to be well-defined and limited to provide the best chance of providing an easy-to-adopt solution. To understand the API of a library, users first need to understand its aim and surface, and have to become familiar with the problems it solves. Thus, focusing only on the \textit{transition} step seems reasonable. This step is highlighted in Figure \ref{fig:scope}. \begin{figure} \centering @@ -16,21 +16,21 @@ There have been attempts that at least partially address this issue, however, as \label{fig:scope} \end{figure} -It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a GREAT service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or by using the organisation's existing software deployment setup. +It is interesting to mention that \href{https://xkcd.com/927/}{there is a proliferation} of platform/software as a service (PaaS/SaaS) products for deploying AI\footnote{Such as \href{https://mlem.ai/}{MLEM}, \href{https://streamlit.io/cloud}{Streamlit} or any AutoML SaaS platform, for example, \href{https://www.akkio.com/role/software-engineers}{Akkio} as these often have a one-click deployment feature as well.}. At first, these may look intriguing. However, they tend to only focus on getting code easily deployed in the cloud: AI best practices are not prioritised in this setup. Nevertheless, in many cases, it may be a suitable option to use such a service, and these can also complement \textit{GreatAI} as illustrated in Figure \ref{fig:scope}: first, the prototype is transformed into a \textit{GREAT} service and materialised as a common software artifact implementing the best practices. Then, it is either deployed using a deployment SaaS or by using the organisation's existing software deployment setup. \section{Requirements} \label{section:requirements} The best practices (which are referenced throughout the thesis) with which the design is concerned are a subset of those compiled by Serban et al. \cite{serban2020adoption,serban2021practices} and John et al. \cite{john2020architecting}. The core requirements --- set of covered best practices --- for a software solution that has the potential to improve our problem context are presented in the following, along with some explanation and clarification for each of them. -\paragraph{General} Albeit not explicitly in the list of best practices, compatibility is vital in encouraging adoption. Large projects oftentimes end up depending on numerous packages, each of which may impose some restrictions on the code: since these all have to be satisfied simultaneously, this can result in severe constraints. +\paragraph{General} Albeit not explicitly in the list of best practices, compatibility is vital in encouraging adoption. Large projects frequently end up depending on numerous packages, each of which may impose some restrictions on the code: since these all have to be satisfied simultaneously, this can result in severe constraints. The open-source scene of data-related libraries is vibrant. To take the example of data validation, there are at least 4 popular choices which offer varying but similar features: \href{https://github.com/SeldonIO/alibi-detect}{Alibi detect}, \href{https://github.com/PAIR-code/facets}{Facets}, \href{https://github.com/great-expectations/great_expectations}{Great Expectations}, and Data Linter \cite{hynes2017data}. The responsibility of choosing the most fitting solution falls on the user. Thus, they should not be limited in this by \textit{GreatAI}. -The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python. Hence, implementing the library in it should not significantly limit its applicability. +The programming language (PL) of the library should be its only non-general property. Fortunately, the de facto PL for data science is Python, so implementing the library in it should not significantly limit its applicability. \paragraph{Robustness} in software development can be achieved by preparing the application to handle errors gracefully, even unexpected ones \cite{bishop1998robust}. Errors can and will happen in practice: storing and investigating what has led to them is required to prevent future ones. In the case of ML, errors might not be as obvious to detect as in more traditional applications (see the above-mentioned data validators). Even if a single feature's value falls outside the expected distribution, unexpected results can happen. In cases where this might lead to real-world repercussions, extra care has to be taken to construct as many safeguards as feasible. \textit{GreatAI} should support its clients in this. -\paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the real-world performance of the system, and this should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real life and can become outdated if they are not revised continuously. A well-packaged deployment should make it trivial to integrate new training data. +\paragraph{End-to-end} In this case, it refers to end-to-end feedback. That is, feedback should be gathered on the system's real-world performance, which should be taken into account when designing/training the next iteration of the model. Static datasets may fail to capture the changing nature of real life and can become outdated if they are not revised continuously. A well-packaged deployment should make it trivial to integrate new training data. \paragraph{Automated} The available time of data scientists and software engineers is limited and expensive. For this reason, humans should only be involved when their involvement is necessary. Steps in the development process that can be automated without negative consequences must be automated in order to achieve efficient development processes and let the experts focus on the issues that require their attention the most. @@ -40,9 +40,9 @@ These requirements were chosen stemming from their general importance and potent \section{Design principles} -Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use-cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. While depth implies each of them accomplishing an involved, complex goal. +Before diving into the concrete issues solved, let us detail the principles that should be used for implementing them in the scope of this framework. As implied in Section \ref{section:scope}, the Unix philosophy \cite{ritchie1978unix,salus1994quarter} of software design is followed. Most notably, the design goal that encourages to \textit{write programs that do one thing and do it well.}\footnote{Of course, \textit{write programs to work together} is also very much applicable since allowing interoperability is one of the core requirements for \textit{GreatAI}.}. Apart from providing a clear and simple picture of the intended use-cases for the library, this is also in line with the main notion of \textit{A Philosophy of Software Design} \cite{ousterhout2018philosophy}: APIs should be narrow and deep. A narrow width refers to having a small exposed surface area, i.e. having a small number of functions and classes in the public API. In contrast, depth implies that each accomplishes an involved, complex goal. -In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform certain tasks. +In a way, the width of an API is the price users have to pay (the effort required for learning it) to use it, while the depth is analogous to the return they get from it. Having to learn little and being provided with a lot of functionality maximises return on investment (ROI), hence, developer experience (DX). The theoretical frameworks presented in \textit{The Programmer's Brain} \cite{hermans2021programmer} provides us with explanations and vocabulary from psychology for arguing about the cognitive aspects of API design. In the following, two of them will be used for detailing the design principles: cognitive dimensions of code bases (CDCB) which is an extension of the cognitive dimensions of notation (CDN) framework \cite{blackwell2001cognitive}, and linguistic anti-patterns \cite{arnaoudova2016linguistic}. The former comes with a set of dimensions describing different (often competing) cognitive aspects of code that influence one's ability to perform specific tasks. Linguistic anti-patterns provide guidelines for improving consistency and decreasing the false sense of consistency when there is none. Also, choosing the right names for identifiers can help activate information stored in the long-term memory, making it quicker to comprehend and easier to reason about the code \cite{deissenboeck2006concise}. Finding the most accurate and useful names is more challenging than it first seems. Accuracy and usefulness are already often competing goals. The more precise the name, the longer and therefore less convenient to use \cite{butler2009relating}. In short, good names are essential to good APIs; consciously considering the implications of names should be an integral part of the design process. @@ -56,15 +56,15 @@ For example, tracing the evaluations and the model versions used in a distribute Being \textit{automated} is listed as a requirement, but it is imperative to only automate for simplifying and not for hiding decisions. More precisely, guessing must not be a part of automation. For instance --- an otherwise handy WebGL library --- TWGL.js, has a feature for automatically guessing the type of vectors based on their names. Suppose it matches the \texttt{/colou?r/i} pattern. In that case, it is treated as a vector with three components\footnote{\href{https://github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}{\tiny github.com/greggman/twgl.js/blob/e3a8d0ed09f7f5cd4be0e4cb5976081c2b5013aa/src/attributes.js\#L139}}. It is easy to imagine that this can help in certain scenarios. Still, it does so at the cost of immense confusion when correctly renaming a variable breaks the application. In CDCB, this equates to scoring high on the dimension of \textit{Hidden dependencies} and low on \textit{Visibility}. -Learning from this, any kind of guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to considerably more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. +Learning from this, any guessing must be avoided to create a pleasant API. However, this conflicts with providing defaults for each configuration value. Even if these would be reasonable defaults derived from educated guesses, they are still merely guesses. Nevertheless, if the users were required to specify each configuration option, that would lead to considerably more boilerplate code. This verbosity is captured by the \textit{Diffuseness} dimension of CDCB and, of course, should be minimised. -To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skimming it. +To resolve this conflict, \textit{GreatAI} should have recommended values instead of defaults. This can mean a context object (as suggested in \cite{ousterhout2018philosophy}), which contains the result of each design consideration that has to be made for a service's deployment. If not configured manually, the recommended values are applied automatically, just like defaults. The values chosen for each parameter must be clearly highlighted. Coming from the library's single responsibility, the number of parameters should not be immense; hence, the user can be expected to comprehend them instead of just being overwhelmed and skipping them. This way, the library attempts to notify its user about the existence of these decisions but does not force them to decide manually. As a result, no initial configuration is needed for starting out with the library (high \textit{Provisionality}, low \textit{Diffuseness}), and the dependencies are not hidden since they are explicitly highlighted. \subsection{Documentation} -Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentation comes in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. But descriptive error messages can also be viewed as documentation. +Little value can be derived from software without good documentation; undoubtedly, good documentation is a prerequisite for adoption. Documentation comes in many shapes: modern integrated development environments (IDEs) tend to show a popup of a function's description when requested (for instance, on mouse hover), and at the same time, a more comprehensive online manual and example projects are also still expected. Descriptive error messages can also be viewed as documentation. The library must have quality documentation for all categories. Accordingly, for structuring it, the \textit{Diátaxis} philosophy is preferred \cite{Procida_Diataxis_documentation_framework} which prescribes dividing documentation into 4 parts along 2 axes: practical-theoretical and passive-active consumption. The four quadrants derived from this are tutorials, how-to guides, references, and explanations. @@ -80,4 +80,4 @@ Subjectively, a key component of good DX is \textit{Progressive evaluation} thro At the same time, Python codebases are rarely strictly object-oriented (OO). They are a mix of the functional, data-driven, and OO paradigms. Consequently, relying on classes for grouping related functions is not always desirable; therefore, it is even more imperative to name similar functions similarly. This helps discoverability and chunking \cite{hermans2021programmer}, which amounts to quicker comprehension. -There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, when overriding it, it is only singly negated. This approach also implies that something may be recommended to be turned on by default. +There is one more reason to prefer consistency: humans have limited short-term memory (STM) \cite{miller1956magical}. Even though flags as function parameters are frowned upon by some \cite{martin2009clean}, they are useful, especially when configuring libraries. However, if there is no convention for the default value of a flag, clients have to remember the flag's name and initial value simultaneously, quickly overloading their STM. Thus, in the codebase, all defaults must be the same, let us say, \texttt{False}. Sometimes, it can result in a \textit{disable} prefix, which may turn into a double negation. Nevertheless, users should never encounter this since the doubly-negated version is the default; thus, it is only singly negated when overriding it. This approach also implies that something may be recommended to be turned on by default. diff --git a/docs/thesis/chapters/5_cases/main.tex b/docs/thesis/chapters/5_cases/main.tex index 97a770e..ae635ef 100644 --- a/docs/thesis/chapters/5_cases/main.tex +++ b/docs/thesis/chapters/5_cases/main.tex @@ -8,7 +8,7 @@ To achieve this, we have a service-based architecture \cite{kleppmann2017designi I was among the first engineers on the team, which has grown considerably in the past two years. While architecting, designing, and integrating more and better models into our software solution, I experienced the same difficulties as were described in Chapter \ref{chapter:background}. The gap between prototypes and production-ready services is larger than it seems, and it is also larger than it should be. This has motivated me to investigate the state-of-the-art, and I have found that it is insufficient in many cases. Since the ScoutinScience platform is a typical example of applying AI in the industry, it will serve as the real-life case, problem context, and testbed for attempting to design a solution that can hopefully advance the state-of-the-art. -In this chapter, the process of designing \textit{GreatAI} is described, along with how it fits into real-life use-cases. First, a simple experiment is presented, which leads to the implementation of a software service. Subsequently, as the feature set of the library grows and matures, a more complex component is developed. Lastly, the final version of the design is presented and qualitatively evaluated to verify how well it satisfies the requirements described in Section \ref{section:requirements}. +This chapter describes the process of designing \textit{GreatAI} and how it fits into real-life use cases. First, a simple experiment is presented, which leads to the implementation of a software service. Subsequently, as the feature set of the library grows and matures, a more complex component is developed. Lastly, the final version of the design is presented and qualitatively evaluated to verify how well it satisfies the requirements described in Section \ref{section:requirements}. \input{chapters/5_cases/naive-bayes} \input{chapters/5_cases/scibert} diff --git a/docs/thesis/chapters/5_cases/naive-bayes.tex b/docs/thesis/chapters/5_cases/naive-bayes.tex index 565109f..b4ce7d7 100644 --- a/docs/thesis/chapters/5_cases/naive-bayes.tex +++ b/docs/thesis/chapters/5_cases/naive-bayes.tex @@ -1,12 +1,12 @@ \section{Domain classification with Naïve Bayes} \label{section:simple-case} -Using different models for slight variations of the same problem is quite commonplace in the industry. For instance, UberEats has a vast, hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. The reason for this can be (among others) the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential), while in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but more importantly: their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction model for academic papers. +Using different models for slight variations of the same problem is commonplace in the industry. For instance, UberEats has a vast, hierarchical set of models for every country, region, and city for calculating the estimated time of delivery \cite{li2017scaling}. We have also found that in order to best process an academic publication, knowing its domain is essential. The reason for this can be (among others) the wildly different vocabularies of different domains. For example, the term \textit{framework} in computer science almost always refers to a software artifact (usually implying high tech-transfer potential). In contrast, in most other domains, \textit{framework} is used to describe theoretical models that are less central to practical applications. Of course, it is not merely the meaning of the terms but, more importantly, their distribution that varies significantly. Therefore, the topic of this section is to design and develop a domain prediction model for academic papers. \subsection{Background} -Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for exactly this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches but this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground-truth dataset. +Fortunately, this is one of the oldest text classification tasks. In fact, Maron introduced the Naïve Bayes classifier in 1961 \cite{maron1961automatic} for precisely this purpose: classifying documents' subjects. However, it is still an active problem when it comes to academic texts, as indicated by Elsevier-funded research carried out by Rivest et al. \cite{rivest2021level}. They created a 176-class classification problem for comparing bibliometric and deep-learning approaches. However, this comparison is made difficult because 44\% of the labels are \textit{assigned suboptimally} in the ground-truth dataset. -Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and finetuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version (\href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}) of this dataset.}. To the best of my knowledge, no other published work exists on this sentence classification task. This may be explained by the lack of practical relevance and contrived nature (uniform label distribution) of the task as we will see in the next subsection. +Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin2018bert} model pretrained on academic publications --- on a simpler version of the task in which the domains of sentences\footnote{Sentences are more appropriate units for processing due to SciBERT's maximum token length of 512 which comes from its attention mechanism's quadratic complexity \cite{vaswani2017attention}.} have to be decided\footnote{\href{https://paperswithcode.com/sota/sentence-classification-on-paper-field}{paperswithcode.com/sota/sentence-classification-on-paper-field}}. It achieved an F1-score of $0.6571$ after being pretrained on the Semantic Scholar Corpus (SSC) \cite{Lo2020S2ORCTS} and finetuned on the train split of the Microsoft Academic Graph (MAG) dataset \cite{wang2019review}\footnote{SciBERT was applied to a preprocessed version (\href{https://github.com/allenai/scibert/tree/master/data/text_classification/mag}{github.com/allenai/scibert/tree/master/data/text\_classification/mag}) of this dataset.}. To my knowledge, no other published work exists on this sentence classification task. This may be explained by the task's lack of practical relevance and contrived nature (uniform label distribution), as we will see in the following subsection. \begin{displayquote} \textbf{Design note} After getting familiar with the context, it is time to focus on experimenting and developing our domain prediction service. At the same time, the difficulties encountered should be noted and integrated into \textit{GreatAI}'s design. @@ -14,9 +14,9 @@ Prior work evaluated SciBERT \cite{beltagy2019scibert} --- a BERT \cite{devlin20 \subsection{Data} -Two datasets will be considered for the experiments. SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared with MAG's 7 and it also contains abstracts instead of just sentences, thus, it is more fitting for our practical use-case. +Two datasets will be considered for the experiments. SciBERT's MAG and the SSC. The former is used to compare the results with SciBERT's, while the latter is utilised for training a model for production purposes because it has 19 labels compared with MAG's seven, and it also contains abstracts instead of just sentences; thus, it is more fitting for our practical use-case. -SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences in its train and test splits respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. +SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences in its train and test splits, respectively. These are mostly in English and have all punctuation and casing removed. Each sentence is classified as belonging to one of seven fields. Figure \ref{fig:mag-distribtion} shows that the classes have a uniform distribution. \begin{figure} \centering @@ -26,13 +26,13 @@ SciBERT's version of the MAG dataset has 84 thousand and 22.3 thousand sentences \label{fig:mag-distribtion} \end{figure} -SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately, nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data will be randomly downsampled to leave us with a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. +SSC is much larger: it contains over 80 million abstracts. Having more data certainly helps in sampling the term distribution more accurately; nonetheless, the law of diminishing returns applies, especially when using simple models. Therefore, the data will be randomly downsampled to give us a more manageable couple of hundreds of megabytes of abstracts. We can see the distribution of class labels in Figure \ref{fig:ss-distribution}. The dataset is considerably less balanced: \textit{medicine} is by far the most voluminous field. \begin{figure} \centering \includegraphics[width=0.8\linewidth]{figures/ss-distribution.png} \captionsetup{width=.9\linewidth} - \caption{Label distribution of the Semantic Scholar dataset \cite{Lo2020S2ORCTS}. Each publication may be assigned at most 3 domains.} + \caption{Label distribution of the Semantic Scholar dataset \cite{Lo2020S2ORCTS}. Each publication may be assigned at most three domains.} \label{fig:ss-distribution} \end{figure} @@ -40,7 +40,7 @@ SSC is much larger: it contains over 80 million abstracts. Having more data cert \textbf{Where should we store this data?} ``On my machine'' seems like an easy answer. However, if we have a team working with the data or it has intrinsic value, it must be stored in an easy-to-access, potentially redundant way. Serban et al. \cite{serban2020adoption} expressed this need in the following best practice: \textit{Make Data Sets Available on Shared Infrastructure (private or public)}. Meanwhile, wherever data is stored, it should also be versioned to satisfy the next best practice: \textit{Use Versioning for Data, Model, Configurations, and Training Scripts}. \end{displayquote} -MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{beltagy2019scibert}. But since SSC contains heaps of metadata, the relevant parts have to be extracted and preprocessed. In this case, these are the concatenation of the abstract's text and the paper's title along with the paper's domains (there can be multiple domains for a single paper: it is a multi-label classification task). Lastly, the non-English entries are discarded because we only expect to process papers in English. +MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{beltagy2019scibert}. However, since SSC contains heaps of metadata, the relevant parts have to be extracted and preprocessed. In this case, these are the concatenation of the abstract's text and the paper's title along with the paper's domains (there can be multiple domains for a single paper: it is a multi-label classification task). Lastly, the non-English entries are discarded because we only expect to process papers in English. \begin{displayquote} \textbf{How should we preprocess the data?} These simple processing steps (filter, map, project) are almost always present in the data science lifecycle. For example, cleaning the input text from various HTML, OCR, PDF, or \LaTeX \hskip 0.12cm extraction artifacts is almost always necessary for text analysis. This is captured in the \href{https://se-ml.github.io/practices}{AI best practices collection} under the following category: \textit{Write Reusable Scripts for Data Cleaning and Merging}. Also, the best practice of \textit{Test all Feature Extraction Code} is somewhat applicable: the applied processing steps must not introduce unwanted artifacts. @@ -50,11 +50,11 @@ MAG needs no further preprocessing if we aim to match SciBERT's setup \cite{belt Our aims are twofold: (1) to evaluate a sentence classification model on MAG and compare it with prior art; and (2) to retrain and apply this model for classifying publication metadata (including abstracts). This would allow the ScoutinScience platform to select an appropriate processing pipeline which has been trained on a matching vocabulary (and domain) for each publication. -It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. To test this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. +It seems reasonable that only considering the distribution (frequencies) of individual terms may be sufficient. For testing this hypothesis, a unigram language model (Multinomial Naïve Bayes) is constructed, and its accuracy is compared with SciBERT's. The former definitely aligns with the advice to \textit{Use The Most Efficient Models}. -Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter-optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves relatively how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. +Using the MNB implementation of scikit-learn \cite{pedregosa2011scikit}, it only took a couple of lines to create, hyperparameter-optimise, and test a text classifier. Including data loading and visualisations, it takes 71 lines of code (LOC) to be more precise. \footnote{The code is available at \href{https://great-ai.scoutinscience.com/tutorial/}{great-ai.scoutinscience.com/tutorial}.} This further proves how simple it is to use standard packages. The code can be considered for satisfying the \textit{Automate Hyper-Parameter Optimisation} best practice since it also implements an automated hyperparameter sweep. -The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than 5 documents or more than 5\% of the documents. +The sentences are tokenised into words and vectorised with TF-IDF (with logarithmic term frequency) \cite{buckley1985implementation}, the hyperparameters found via 10-fold cross-validation on the \textit{train} split lead to filtering out tokens which occur in fewer than five documents or more than 5\% of the documents. \begin{displayquote} \textbf{What could be automated here?} As discussed in Section \ref{section:accessible-ai}, libraries exposing algorithms and even SOTA models can already be considered mature and accessible. In this case, only scikit-learn was utilised, but subjectively, most popular libraries have a similarly easy-to-use API. Therefore, I see no urgent need for further action regarding the \textit{experimentation} step of the lifecycle in connection with the AI best practices. @@ -78,27 +78,27 @@ The sentences are tokenised into words and vectorised with TF-IDF (with logarith \label{fig:ss-confusion} \end{figure} -When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1-score. This is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems, MNB clearly outperforms SciBERT for this particular use case: it is not only more accurate, its model is magnitudes smaller, while it is also considerably faster to train (or finetune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper limit on the input length. Thus, this experiment validates the choice of picking MNB for the task over SciBERT. +When this model is applied to the \textit{test} split of MAG, we get the confusion matrix of Figure \ref{fig:mag-confusion}. This Naïve Bayes classifier achieves a whopping $0.6795$ F1 score. This is $2.3\%$ more than SciBERT's on the same dataset. Thus, it seems that MNB clearly outperforms SciBERT for this particular use case: it is not only more accurate, but its model is magnitudes smaller, while it is also considerably faster to train (or finetune in the case of SciBERT) and use (its running time is in the order of milliseconds per publication). It also has no upper limit on the input length. Thus, this experiment validates choosing MNB for the task over SciBERT. -It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a plain task like this. Apart from phrases, the relation between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}, hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. +It is, of course, not entirely surprising that the sophisticated transformer architecture of SciBERT is not necessary for a straightforward task like this. Apart from phrases, the relations between separate words of a sentence do not carry nearly as much discriminative power as the identity of the terms \cite{hand2001idiot}; hence, there is little reason for using an attention mechanism. The fact that SciBERT even works in any way on this task is already a testament to its general applicability. Nevertheless, this short experiment has proved that we can safely opt for using MNB for production. -Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1-score which is 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. +Since Multinomial Naïve Bayes is best at returning a single label and SSC has multiple labels per datapoint: for evaluation purposes, it is checked whether the returned label is contained in the labels of the ground truth. On this dataset, MNB achieves a lower macro-average F1 score of 0.59.\footnote{The code for this is available at \href{https://great-ai.scoutinscience.com/examples/simple/deploy}{great-ai.scoutinscience.com/examples/simple/deploy}.} The weighted-average F1 is 0.70, and the overall accuracy is also 70\%. The substantial difference between the macro and weighted averages comes from the unbalanced distribution of the labels. -The lower F1-score is not surprising because there are more than twice as many classes in this dataset. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. +The lower F1 score is not surprising because this dataset has more than twice as many classes. Additionally, the mistakes made are defensible when we look at Figure \ref{fig:ss-confusion}: most of them are between close or related classes. \begin{displayquote} -This is the usual point where papers conclude: a proof-of-concept/prototype has been built and its performance demonstrated, measured --- and usually --- explained. Nonetheless, in an industrial setting, our problem is far from being solved: it has yet to be deployed. +This is the usual point where papers conclude: a proof-of-concept/prototype has been built, and its performance demonstrated, measured --- and usually --- explained. Nonetheless, in an industrial setting, our problem is far from being solved: it has yet to be deployed. \end{displayquote} \subsection{Deployment} -First, an inference function needs to be written that can take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, giving an explanation of the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. +First, an inference function needs to be written that can take input on the fly and calculate a corresponding prediction. Since we aim to follow the best practices, namely: \textit{Explain Results and Decisions to Users} and \textit{Employ Interpretable Models When Possible}, explaining the results is expected. Fortunately, with our simple model, it is easy to determine the most influential weights, thus, words. The explanations are derived by taking the top 5 tokens from the input text ranked by their feature weights. The last deployment step may be to provide access to our model for others. \begin{displayquote} -\textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though allowing it to be easily (or automatically) parallelised would make its consumers' DX better. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface or more commonly, a web API. Developers usually refer to these as REST APIs, sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service in order to make it available for other internal/external consumers. +\textbf{How do we provide an interface for the inference function?} We either have an offline or online inference workflow (or both). For the former, we have to provide a way to use it in batch processing; a simple Python function may be adequate for this purpose, though allowing it to be easily (or automatically) parallelised would improve its consumers' DX. If it is an online workflow, we must have a service running continuously and accepting input at any time. This can be achieved by a remote procedure call (RPC) interface or, more commonly, a web API. Developers usually refer to these as REST APIs, and sometimes, they even follow the conventions of REST. Either way, we must develop a wrapper over the service to make it available to other internal/external consumers. \end{displayquote} -According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is inarguably a deployment. However, it likely follows very few of the best practices, which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. +According to the body of research on the adoption of best practices, this is where many real-world projects conclude. This also happens to be \textbf{the gap}. Believing that solely focusing on the research and experiments is good enough is a fallacy: when following this approach, the deployment step ends up being a rushed attempt of wrapping the \textit{AI} and putting it in the production environment. This is, inarguably, a deployment. However, it likely follows very few of the best practices, which can lead to suboptimal real-life performance, lack of accountability, lack of opportunity to improve, and possibly an overall negative societal impact. \begin{displayquote} \textbf{How could we implement more best practices?} The most notable missing software/operations features are the lack of automated deployment, automated regression testing, online monitoring, persisting the traces, graceful error-handling, taking feedback on the results (if possible in the use-case), calculating the online accuracy based on the feedback, and retraining the model if necessary using novel data. These all correspond to best practices. @@ -106,31 +106,31 @@ According to the body of research on the adoption of best practices, this is whe \section{Bridging the gap with GreatAI} -First, let us revisit the library's scope for clarification. As concluded in Section \ref{section:scope}, \textit{GreatAI} should ease the \textit{transition} step between prototypes and production-ready deployments. However, this leaves open the question of what constitutes to this step? There are cross-cutting concerns, for example, feature extraction is implemented and used in the training phase, but it is also deployed alongside the model. The robustness criterion has to be met by this procedure even though its implementation is only in focus in the earlier stages of the project. Since having an untested function deployed into production can have severe repercussions, I conclude, assuring its correctness lies within the scope of \textit{GreatAI}. +First, let us revisit the library's scope for clarification. As concluded in Section \ref{section:scope}, \textit{GreatAI} should ease the \textit{transition} step between prototypes and production-ready deployments. However, this leaves open the question of what constitutes this step. There are cross-cutting concerns; for example, feature extraction is implemented and used in the training phase, but it is also deployed alongside the model. The robustness criterion has to be met by this procedure even though its implementation is only in focus in the earlier stages of the project. Since having an untested function deployed into production can have severe repercussions, I conclude, assuring its correctness lies within the scope of \textit{GreatAI}. -This section briefly explores how the problems raised can be solved using \textit{GreatAI}, and the API it provides in order to best fit the needs of its users. We first focus on the aspects of data, then we discuss the utility of helper functions, and lastly, the automated wrapping of services. +This section briefly explores how the problems raised can be solved using \textit{GreatAI} and the API it provides to best fit the needs of its users. We first focus on the aspects of data, then we discuss the utility of helper functions, and lastly, the automated wrapping of services. \subsection{Handling data} \label{subsection:large-file} -The obstacles coming from the intertwined nature of different models is widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use-case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. +The obstacles coming from the intertwined nature of different models are widely recognised \cite{haakman2021ai,amershi2019software,sculley2015hidden}. This can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality \cite{amershi2019software}. The importance of schema versioning in an environment of rapidly changing models and transformations is highlighted for a specific use-case in \cite{van2017versioning} and more generally by the \textit{Use Versioning for Data, Model, Configurations and Training Scripts} best practice. These emphasise the requirement for versioning models and, in general, data. -There are two kinds of data storage needs we have to address: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using the Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. +We have to address two kinds of data storage needs: training data and trained models. Because our code is probably already tracked under Git (and \href{https://octoverse.github.com/#lets-look-back-at-the-code-and-communities-built-on-git-hub-this-year}{likely synchronised with GitHub}), using the Git Large File Storage (LFS)\footnote{\href{https://git-lfs.github.com/}{git-lfs.github.com}} might seem intriguing. However, it is a paid (and surprisingly expensive) service of GitHub, especially when we factor in the expected sizes of the models and training data with the fact that the only way to remove files counting towards our quota is to \href{https://docs.github.com/en/repositories/working-with-files/managing-large-files/removing-files-from-git-large-file-storage#git-lfs-objects-in-your-repository}{delete the entire repository}. -An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's, and it can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. +An open-source tool, the Data Version Control (DVC)\footnote{\href{https://dvc.org/}{dvc.org}} provides a nearly perfect alternative. It comes with a command-line interface (CLI) inspired by Git's and can be integrated with several backend storage servers. Its only downside is, of course, that it is one more tool that increases the complexity of the project and the initial setup time. If this is an acceptable price to pay, then I personally recommend opting for DVC. Nevertheless, if this may prohibit a team\footnote{As was the case with MLFlow tracking in an ING team described in Section \ref{section:industry}.} from properly handling data according to the best practices, I present a simpler solution. -The complexity of an API can be decreased by relying on its users' preexisting knowledge and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface; however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, and automatically deleting old remote versions are all present and come with recommended --- but easy to see and change --- configuration. +The complexity of an API can be decreased by relying on its users' preexisting knowledge, and known patterns \cite{hermans2021programmer,ousterhout2018philosophy}. Therefore, we can reuse familiar APIs, such as the \texttt{open()} method from Python. Therefore, a method is proposed which provides the same interface; however, the backing storage can be a mixture of local disk space, S3-compatible storage, MongoDB, or any other storage backend. It provides a superset of \texttt{open()}'s interface\footnote{\href{https://docs.python.org/3/library/functions.html\#open}{docs.python.org/3/library/functions.html\#open}}: the same parameters can be used with it resulting in similar observed behaviour. The expected features: versioning, progress bars, caching, garbage collecting the cache, and automatically deleting old remote versions are all present and come with recommended --- but easy to see and change --- configuration. Easing development is not merely about automating everything but also about making the code easy to change (which is the \textit{Viscosity} dimension of CDCB). Going from opening a local file on the disk with the built-in open method, to opening a file from S3 is as easy as changing \texttt{open('file.txt', 'w')} to \texttt{LargeFileS3('file.txt', 'w')}. In the case of the latter, an additional \texttt{version} keyword argument can also be given to lock ourselves in using a certain version which is very much desired in the case of models. \subsection{Utilities} -It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, and robustly lemmatizing are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. +It is easy to notice multiple recurring tasks when it comes to processing text. Cleaning it from various extraction artifacts and normalising characters is one of the most common. But splitting sentences, language tagging, and robustly lemmatising are also often recurring tasks. Because having reusable and tested feature extraction code covers two best practices, it seems straightforward that a utility module could be created for this, which could be extensively tested through unit testing. This is exactly the motivation behind \texttt{great\_ai.utilities}. Extra care has to be taken not to overfit these utilities on the cases considered in this chapter; however, I believe these are versatile enough to be helpful in many text-related contexts. A conclusive answer to this assumption will be found during the interviews. Implementing the unit tests uncovered multiple edge cases and even runtime errors; hence, the merit of \textit{Test all Feature Extraction Code} best practice is unequivocal. There is one more best practice that could be partially covered here, especially because its solution also helps both during batch inference but also at training/feature extraction time: \textit{Enable Parallel Training Experiments}. -A function called \texttt{parallel\_map()} is implemented which closely mimics the API of the built-in Python function: \texttt{map}. And it exemplifies how even a close to trivial function is able to improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the built-in \texttt{multiprocessing} library has a great API. However, doing a parallel mapping task with a progress bar still takes about a dozen lines. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a single-line, routine task. +A function called \texttt{parallel\_map()} is implemented which closely mimics the API of the built-in Python function: \texttt{map}. Furthermore, it exemplifies how even a close to trivial function can improve the DX by magnitudes. Rooted in the global interpreter lock (GIL)\footnote{\href{https://wiki.python.org/moin/GlobalInterpreterLock}{wiki.python.org/moin/GlobalInterpreterLock}} of CPython, in almost all cases, multi-threading does not lead to higher performance of CPU-bound tasks. For this purpose, multiprocessing has to be used. Fortunately, the built-in \texttt{multiprocessing} library has a great API. However, doing a parallel mapping task with a progress bar still takes about a dozen lines. This can deter people (at least me) from taking advantage of more than just a single CPU core during exploratory experimentation. With \texttt{parallel\_map()}, this challenge becomes a single-line, routine task. \subsection{Deployment approach} @@ -139,7 +139,7 @@ In line with the findings of John et al. \cite{john2020architecting} on the SOTA Based on personal empirical evidence, three types of software artifacts are identified (in the context of Python) for which a wide range of established practices exist. WSGI server\footnote{\href{https://peps.python.org/pep-3333/}{peps.python.org/pep-3333}} compatible applications, executable scripts, and Docker Images\footnote{\href{https://docs.docker.com/registry/spec/manifest-v2-2/}{docs.docker.com/registry/spec/manifest-v2-2}}. To achieve this, \textit{GreatAI} provides a compatibility layer between simple Python inference functions and all the above common artifacts. Taking functions as input for the first step also satisfies the requirement to be \textbf{General}. Nevertheless, to also allow customisation, additional configuration, metadata, and behavioural specification can be given as well. -The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. +The main advantage of the wrapping approach is that it does not require any input from the clients (by default). I opted for a decorator \cite{gamma1995design}, which lets users wrap their function by adding a single additional line of code as shown in Listing \ref{listing:hello-world}. After which, the created WSGI application can be accessed through the \texttt{greeter.app} property where \texttt{greeter} is the identifier of the user-defined function. A CLI script (\texttt{great-ai}), along with a \texttt{Dockerfile} are also provided to cover the other two deployment artifacts. \begin{listing}[!ht] \begin{minted}[ diff --git a/docs/thesis/chapters/5_cases/scibert.tex b/docs/thesis/chapters/5_cases/scibert.tex index ec35483..058be4e 100644 --- a/docs/thesis/chapters/5_cases/scibert.tex +++ b/docs/thesis/chapters/5_cases/scibert.tex @@ -2,37 +2,37 @@ The ScoutinScience Dashboard contains a full-page evaluation view for academic publications. On this, the known metadata, historical trends about the paper's topics, social media mentions, a PDF viewer showing the document, and other augmentation tools are displayed. One of these is the \textit{Highlights} section, which aims to summarise the paper from a technology-transfer perspective. -The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended with the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but inadequate for providing an accurate overview. Thus, this is the baseline that I attempt to improve on in this section. +The current approach uses a simple heuristic based on a set of phrases selected by business developers and extended with the help of a word2vec model \cite{mikolov2013efficient}. The user feedback deemed this implementation slightly helpful but inadequate for providing an accurate overview. Thus, this is the baseline I attempt to improve on in this section. \begin{displayquote} -Compared with Section \ref{section:simple-case}, this time around, the toolset of \textit{GreatAI} is available at our disposal. Hopefully, this will streamline the development and --- especially --- the deployment. Given its arguably higher complexity, the experiment falls closer to industrial use cases, and hence, can give more accurate feedback on how to further improve the API. +Compared with Section \ref{section:simple-case}, this time around, the toolset of \textit{GreatAI} is available at our disposal. Hopefully, this will streamline the development and --- especially --- the deployment. Given its arguably higher complexity, the experiment falls closer to industrial use cases and hence, can give more accurate feedback on how to further improve the API. \end{displayquote} \subsection{Background} Automatic text summarisation (ATS) is also one of the earliest established tasks of text analysis and boasts numerous promising results \cite{el2021automatic}. Text summarisation is usually divided into extractive and abstractive approaches. Even though the latter can lead to more fluent summaries, it is also prone to hallucinate content that is unfaithful to the input \cite{maynez2020faithfulness}. For this reason, extractive techniques are preferred in this case. -Our problem requires generating a special type of summary: it must only concern a single aspect (tech transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp} but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. +Our problem requires generating a special type of summary: it must only concern a single aspect (tech transfer) of the document. Aspect-based text summarisation has also seen some progress over the last decades \cite{berkovsky2008aspect,hayashi2021wikiasp}, but these methods require concretely defined topics. Unfortunately, \textit{tech-transfer potential} is anything but a clear topic definition. -Numerous discussions and interviews with business developers over the last two years made it clear that there is no universally agreed-on definition of it. At least, all of them agree that they know it when they see it. Additionally, most of them agree that they can confidently make a decision on the granularity of sentences. This gives rise to an obvious idea: show the experts something they can annotate. Because experts' time is valuable, and relevant sentences are few and far between, extra care needs to be taken to improve the ratio of positive examples in the dataset. The research of Iwatsuki Kenichi on formulaic expressions (FEs) \cite{iwatsuki2020evaluation,iwatsuki2021extraction,iwatsuki2021communicative,iwatsuki2022extraction} provides a promising direction to do so. +Numerous discussions and interviews with business developers over the last two years made it clear that there is no universally agreed-on definition of it. At least all of them agree that they know it when they see it. Additionally, most of them agree that they can confidently make a decision on the granularity of sentences. This gives rise to an obvious idea: show the experts something they can annotate. Because experts' time is valuable, and relevant sentences are few and far between, extra care needs to be taken to improve the ratio of positive examples in the dataset. The research of Iwatsuki Kenichi on formulaic expressions (FEs) \cite{iwatsuki2020evaluation,iwatsuki2021extraction,iwatsuki2021communicative,iwatsuki2022extraction} provides a promising direction to do so. -A formulaic expression is a phrase with zero or more ``slots'' which, when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground-truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. +A formulaic expression is a phrase with zero or more ``slots'' which, when filled appropriately, leads to expressing a certain intent. In the context of scientific text, an example\footnote{Taken from the ground-truth data available at \href{https://github.com/Alab-NII/FECFevalDataset/blob/master/human_evaluation/background.tsv}{github.com/Alab-NII/FECFevalDataset}.} could be: \texttt{it was not until * that}. The asterisk can be substituted with multiple terms, and the intention of this expression is (likely) to describe the \textit{History of the related topics}. Iwatsuki et al. identified a set of 39 intentions, compiled a manually labelled dataset \cite{iwatsuki2020evaluation}, and developed multiple approaches for automatically extracting and classifying formulaic expressions in large corpora \cite{iwatsuki2021communicative,iwatsuki2022extraction}. \subsection{Methods} -In order to compile a new dataset, experts are asked to judge sentences that passed an \textit{intention check}. This pooling approach is commonly used in the field of information retrieval \cite{schutze2008introduction}. The filtering is expected to sieve out sentences that are probably not relevant from a technology-transfer perspective using Iwatsuki's formulaic expression intention classes. Subsequently, relevance judgements --- in the form of \textit{interesting} or \textit{not interesting} labels --- are gathered for the remaining sentences. This method turns the extractive summarisation into a binary classification task for which a SciBERT model \cite{beltagy2019scibert} can be finetuned. Ultimately, the summaries are derived from sentences that are selected by the classifier trained on the experts' annotations. +In order to compile a new dataset, experts are asked to judge sentences that passed an \textit{intention check}. This pooling approach is commonly used in information retrieval \cite{schutze2008introduction}. The filtering is expected to sieve out sentences that are probably not relevant from a technology-transfer perspective using Iwatsuki's formulaic expression intention classes. Subsequently, relevance judgements --- in the form of \textit{interesting} or \textit{not interesting} labels --- are gathered for the remaining sentences. This method turns the extractive summarisation into a binary classification task for which a SciBERT model \cite{beltagy2019scibert} can be fine-tuned. Ultimately, the summaries are derived from sentences selected by the classifier trained on the experts' annotations. We have to note two possible shortcomings of this setup: firstly, the FE intentions are assumed to be strongly correlated with the sought-after aspect. This may or may not be true. Secondly, only the individual relevance of the sentences is considered instead of the overall relevance (utility) of the summary. Nonetheless, it is expected that stemming from the length of the documents and the sparseness of the selected sentences, that any combination of them is likely to have low redundancy. \subsection{Results} -For the first iteration, 1500 sentences were selected for 2 experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}. Which turns out to be \textbf{0.4310} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. However, we have to note that the original quality ranges are often criticised for being too relaxed \cite{mchugh2012interrater}. However, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. +For the first iteration, 1500 sentences were selected for two experts to annotate in a binary fashion according to strict guidelines. An example is shown in Figure \ref{fig:annotator}. Afterwards, for measuring the interrater agreement, Cohen's kappa \cite{cohen1960coefficient} is calculated as shown in Equation \ref{equation:kappa}, which turns out to be \textbf{0.4310} for the two annotators. This happens to be just above the lower end of \textit{moderate agreement}. However, we have to note that the original quality ranges are often criticised for being too relaxed \cite{mchugh2012interrater}. However, in the case of summarisation, Verberne et al. \cite{verberne2018creating} argue that reasonable end-quality can be reached even when the interrater agreement is relatively low. The ground truth is determined by taking the logical disjunction of the annotations. \begin{figure} \centering \includegraphics[width=0.75\linewidth]{figures/annotator.png} \captionsetup{width=.9\linewidth} - \caption{Annotator UI showing a single sentence and the two possible labels that can be assigned based on its relevance to technology transfer.} + \caption{The Annotator UI shows a single sentence and the two possible labels that can be assigned based on its relevance to technology transfer.} \label{fig:annotator} \end{figure} @@ -40,17 +40,17 @@ For the first iteration, 1500 sentences were selected for 2 experts to annotate \kappa_{agreement} \equiv \frac{p_{observed} - p_{expected}}{1 - p_{expected}} = 1 - \frac{1 - p_{observed}}{1 - p_{expected}} \end{equation} -The next step is finetuning SciBERT with the help of HuggingFace transformers \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. From the train split, a validation split is also derived, which is used for early stopping. The objective function is the F1-score of the positive class and the early stopping patience is 5 epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. +The next step is fine-tuning SciBERT with the help of HuggingFace transformers \cite{wolf2019huggingface}. The data are divided into training and test splits with a ratio of 4:1. A validation split, used for early stopping, is also derived from the train split. The objective function is the F1-score of the positive class, and the early stopping patience is five epochs. The learning rate is $5 \times 10^{-5}$ and AdamW \cite{loshchilov2017decoupled} is used for optimisation with a weight decay of 0.05. The code can be found in the documentation\footnote{\href{https://great-ai.scoutinscience.com/examples/scibert/train/}{great-ai.scoutinscience.com/examples/scibert/train}}, it is surprisingly slightly shorter than the code of Section \ref{section:simple-case}. \begin{displayquote} -\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different datapoints in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. To facilitate reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own, however, in some cases, it can result in one fewer step to miss. +\textbf{Reproducibility} Reproducible experiments are generally preferred. It is easy to forget to set some seed values and, for example, end up with different data points in the test-train splits during training and validation in a Continuous Integration (CI) pipeline. For facilitating reproducibility, it would be useful to reset the seeds of each imported library's random number generators (RNGs) when \textit{GreatAI} is configured. Thus, a feature has been added to detect and reset RNGs of installed and imported libraries. This certainly will not solve the reproducibility crisis \cite{hutson2018artificial} on its own; however, in some cases, it can result in one fewer step to miss. \end{displayquote} \begin{displayquote} -\textbf{Utility of LargeFiles} For the purposes of the documentation, the finetuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by handling the uploads and downloads automatically. Of course, first, backwards compatibility had to be solved for Python 3.7, which is the only available environment in Colab. +\textbf{Utility of LargeFiles} For the purposes of the documentation, the fine-tuning was conducted in the Google Colab online environment, which is excellent for providing anyone with GPU time for free. However, notebook environments are ephemeral, resulting in the need to manually upload and download all relevant data whenever a new virtual machine (VM) instance is granted. The \texttt{LargeFile} implementation alleviated this problem by automatically handling the uploads and downloads. Of course, first, backwards compatibility had to be solved for Python 3.7, the only available environment in Colab. \end{displayquote} -The best validation results were achieved after 8 epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the subjective definition of the task, SciBERT manages to achieve good quality which is indicated by an F1-score of \textbf{0.89}. +The best validation results were achieved after eight epochs which is slightly more than expected but is presumably due to the weight decay. The confusion matrix on the test split can be seen in Figure \ref{fig:scibert-confusion}: regardless of the task's subjective definition, SciBERT achieves good quality, which is indicated by an F1-score of \textbf{0.89}. \begin{figure} \centering @@ -62,7 +62,7 @@ The best validation results were achieved after 8 epochs which is slightly more Let us check how well the selected sentences correspond with the tech-transfer potential. Users and in-house experts can rate publications (from a tech-transfer perspective) by assigning them to one of four categories: \texttt{A}, \texttt{B}, \texttt{C}, and \texttt{D} with \texttt{A} being the most and \texttt{D} the least promising. This feedback is stored and used for analytic and training purposes. Since both the feedback grade and the ``highlights'' are supposed to reflect the same aspect of papers, therefore, we can reasonably expect some correlation between them. -Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the finetuned model in 4 categories (grades) of papers. The two datasets come from non-overlapping sets of papers; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences found by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. +Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as predicted by the fine-tuned model in 4 categories (grades) of papers. The two datasets come from non-overlapping sets of papers; hence, the results come solely from the model's ability to generalise. It is interesting to see that the Spearman's rank correlation coefficient \cite{spearman1961proof} between the normalised ``highlights'' counts and the ratings of papers is \textbf{0.4784} and is statistically significant ($P = 5.4 \times 10^{-74}$). This proves the presence of a monotonic association. For context, the correlation between the grades and the number of sentences found by the baseline approach is 0.06597 ($P = 0.03$). We can conclude that the classifier's output is indicative of publications' tech-transfer potential. \begin{figure} \centering @@ -74,7 +74,7 @@ Figure \ref{fig:histograms} shows the ratio of summary candidate sentences as pr \subsection{Deployment} -To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log-probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list is applied to the scores in order not to highlight the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. +To implement the summarisation, at most, the top 7 selected sentences are chosen as ranked by their log probabilities. They are subsequently reordered according to their position in the text. As a quasi-explanation, the tokens' attention scores are visualised and overlaid on the highlighted sentences. The \textit{i}-th token's visualised attention comes from summing up the attention weights of each of the last layer's heads between the \texttt{[CLS]} and the \textit{i}-th token. To improve the end-user experience, a high-pass filter and a stop-word list are applied to the scores to avoid highlighting the syntax-related tokens (punctuation, determiners). The service --- after being integrated into the dashboard --- can be seen in Figure \ref{fig:dashboard-highlights}. \begin{displayquote} \textbf{Design inspiration} In order to get insights into their inner workings, HuggingFace models can be given \texttt{output\_attentions=True} in their constructor, which results in a new property becoming accessible on the results for querying the attentions. The only issue with it is that it is a 5-dimensional matrix which makes exploring and understanding it non-obvious. In short, it has very low \textit{Discoveribility}. For example, the attention weights for the UI are calculated with this expression: @@ -83,7 +83,7 @@ baselinestretch=1, ]{python} np.sum(result.attentions[-1].numpy()[0], axis=0)[0][1:-1] \end{minted} -Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API which can be achieved by the use of type hints, descriptive property names, and docstrings. +Even though the operation is conceptually simple, because of the opaque data structure, this is anything but obvious to comprehend. Therefore, it is clear that this needs to be avoided in my library design; it has to have an explicit and discoverable API that can be achieved by using type hints, descriptive property names, and docstrings. \end{displayquote} \begin{figure} @@ -104,7 +104,7 @@ Sustainability is an increasingly crucial concern of ethical AI \cite{van2021sus \subsection{Revisiting \texttt{parallel\_map}} -Even though most inference functions are CPU-bound, it turns out that sometimes they involve IO, especially when relying on the results of other remote models. This means a significant performance improvement can be achieved by implementing some inference functions asynchronously \cite{tilkov2010node}. Thus, \textit{GreatAI} also has to support decorating both regular (synchronous) and asynchronous functions. One notable consequence of this is that the batch processing feature also has to be compatible with \texttt{async} inference functions. Batch processing is still a helpful feature since it is likely that async inference functions are both IO (remote calls) and CPU (local evaluation) constrained at the same time. Thus, they can benefit from multi-core parallelisation. +Even though most inference functions are CPU-bound, it turns out that sometimes they involve IO, especially when relying on the results of other remote models. This means a significant performance improvement can be achieved by implementing some inference functions asynchronously \cite{tilkov2010node}. Thus, \textit{GreatAI} also has to support decorating both regular (synchronous) and asynchronous functions. One notable consequence is that the batch processing feature must also be compatible with \texttt{async} inference functions. Batch processing is still a helpful feature since it is likely that async inference functions are both IO (remote calls) and CPU (local evaluation) constrained at the same time. Thus, they can benefit from multi-core parallelisation. However, the standard library's \texttt{multiprocessing}, the third party \texttt{multiprocess} \cite{mckerns2012building}, and, another popular library, \texttt{joblib}\footnote{\href{https://joblib.readthedocs.io/en/latest/}{joblib.readthedocs.io/en/latest}} all lack the support for efficiently parallelising async functions. For this reason, \texttt{parallel\_map} is reimplemented to create an event-loop in each worker process to keep the efficiency of non-blocking IO while also providing parallelisation for the CPU-bound sections of code. @@ -112,7 +112,7 @@ However, the standard library's \texttt{multiprocessing}, the third party \textt Apart from supporting \texttt{async} calls, a couple more steps can be taken to help integrate any service with a \textit{GreatAI} deployment. This is implemented by the \texttt{call\_remote\_great\_ai} function which hides the networking required to call a \textit{GreatAI} instance's REST API. It takes care of validation, automatic retries, serialisation, and deserialisation. This comes with the added benefit of encouraging decoupled services because the friction of integrating them is no longer noticeable, which is beneficial for human collaboration \cite{hasselbring2002component}. -Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata, proved to be key features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. +Additionally, a REST API is generated with its accompanying OpenAPI schema\footnote{\href{https://swagger.io/specification}{swagger.io/specification}} and served with a \href{https://swagger.io/}{Swagger} template. It also contains metadata about the function, for instance, its docstring, version, and version of its registered models concatenated in order to be SemVer\footnote{\href{https://semver.org/}{semver.org}} compatible. These can be seen in Figure \ref{fig:greatai-api}. This, combined with a \texttt{/version} HTTP endpoint for programmatic access and validation of the service's metadata, proved to be critical features when integrating the \textit{Highlights service} into ScoutinScience's service-based architecture. \begin{figure} \centering diff --git a/docs/thesis/chapters/6_results.tex b/docs/thesis/chapters/6_results.tex index 1b60bf1..f1d6ef2 100644 --- a/docs/thesis/chapters/6_results.tex +++ b/docs/thesis/chapters/6_results.tex @@ -1,19 +1,19 @@ -\chapter{Results} \label{chapter:interviews} +\chapter{Results \& discussion} \label{chapter:interviews} -It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially, when it comes to packaging and deploying AI/ML services. My goal was to design a library with an API that finds the balance between being simple enough to adopt without friction, yet useful/powerful enough to be adopted. Simplicity is subjective and it will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. +It should not be surprising that neither data scientists nor software engineers can be replaced by software libraries. However, a non-negligible subset of their processes can be partially or fully automated, especially when it comes to packaging and deploying AI/ML services. My goal was to design a library with an API that finds the balance between being simple enough to adopt without friction yet useful enough to be adopted. Simplicity is subjective, and it will be discussed separately in Section \ref{section:interviews}. For now, let us look at the utility of \textit{GreatAI}. \section{Features} \label{section:features} For answering \textbf{RQ3} --- \textit{To what extent can \textit{GreatAI} automatically implement AI deployment best practices?} --- a comparison is presented in the following that illustrates which best practices can be implemented/scaffolded/configured with little user input; hence, through a simple and streamlined API. Tables \ref{table:best-practices-1} and \ref{table:best-practices-2} summarise the implemented best practices in the context of methods found by prior surveys of scientific and grey literature \cite{serban2020adoption,serban2021practices,john2020architecting}. -In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Fully automated}, \textit{Supported}, and \textit{Partially supported}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, these tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use typehints in their code and it contains a more complex control flow, it can only be partially type-checked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make effort to fully implement it. +In order to show an accurately nuanced representation, a \textit{Level of support} is determined for each best practice on a scale of \textit{Partially supported}, \textit{Supported}, and \textit{Fully automated}. For instance, \textit{Use static analysis to check code quality} from Table \ref{table:best-practices-1} is \textit{Supported} because the entire public interface of \textit{GreatAI} is correctly typed (including generics and asynchronous coroutines) and compatible with \href{https://mypy.readthedocs.io/en/stable/index.html#}{\texttt{mypy}} and \href{https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance}{\texttt{Pylance}}. This means that when \textit{GreatAI} is used in any Python project, these tools can be applied to statically check the soundness of the project's integration with \textit{GreatAI}. However, if the library's user does not use type hints in their code and it contains a more complex control flow, it can only be partially type-checked. In short, this best practice is supported, and a considerable part of it is already implemented by \textit{GreatAI}, but clients should still keep in mind that they might also need to make an effort to implement it fully. -This is not the case for \textit{Log production predictions with the model's version and input data} because by default, it is automatically implemented when calling \texttt{@GreatAI.create}. Users can still specify the exact expected behaviour, e.g.: where to store traces, additional metrics to log, or disabling the logging of sensitive input. Nevertheless, without input from the library's user, the best practice is already reasonably well implemented. +This is not the case for \textit{Log production predictions with the model's version and input data} because, by default, it is automatically implemented when calling \texttt{@GreatAI.create}. Users can still specify the exact expected behaviour, e.g., where to store traces, additional metrics to log, or disabling the logging of sensitive input. Nevertheless, the best practice is already reasonably well implemented without input from the library's user. \begin{table} \centering \begin{threeparttable} -\caption{A subset of AI lifecycle best practices and the level of support \textit{GreatAI} provides for them. The level of support is one of \textit{Fully automated} (\checkmark\checkmark) which means that no action is required from the user, \textit{Supported} (\checkmark) only automates the reasonably automatable aspects, while \textit{Partially supported} ($\sim$) provides some useful features but the client is expected to build on top of these.} +\caption{A subset of AI lifecycle best practices and the level of support \textit{GreatAI} provides for them. The level of support is one of \textit{Fully automated} (\checkmark\checkmark), which means that no action is required from the user, \textit{Supported} (\checkmark) only automates the reasonably automatable aspects, while \textit{Partially supported} ($\sim$) provides some useful features, but the client is expected to build on top of these.} \label{table:best-practices-1} {\renewcommand{\arraystretch}{1.2} % for the vertical padding @@ -48,7 +48,7 @@ Log production predictions with the model's version and input data\textsuperscri \begin{table} \centering \begin{threeparttable} -\caption{A subset of AI lifecycle best practices and the level of support \textit{GreatAI} provides for them. The level of support is one of \textit{Fully automated} (\checkmark\checkmark) which means that no action is required from the user, \textit{Supported} ($\checkmark$) only automates the reasonably automatable aspects, while \textit{Partially supported} ($\sim$) provides some useful features but the client is expected to build on top of these.} +\caption{A subset of AI lifecycle best practices and the level of support \textit{GreatAI} provides for them. The level of support is one of \textit{Fully automated} (\checkmark\checkmark), which means that no action is required from the user, \textit{Supported} ($\checkmark$) only automates the reasonably automatable aspects, while \textit{Partially supported} ($\sim$) provides some useful features but the client is expected to build on top of these.} \label{table:best-practices-2} {\renewcommand{\arraystretch}{1.2} % for the vertical padding @@ -57,7 +57,7 @@ Log production predictions with the model's version and input data\textsuperscri \textbf{Best practice} & \textbf{Implementation} & \textbf{Support} \\\hline Execute validation techniques: error rates and cross-validation\textsuperscript{2} & \texttt{*\_ground\_truth} & \checkmark \\\hline % Track models, dependencies, experiments, versions\textsuperscript{2} & \texttt{great\_ai.use\_model}, Dashboard & \checkmark\checkmark \\\hline -Store models in a single format for ease of use\textsuperscript{2} & \texttt{save\_model} & \checkmark\checkmark \\\hline +Store models in a single format for o of use\textsuperscript{2} & \texttt{save\_model} & \checkmark\checkmark \\\hline Rewrite from data analysis to industrial development language\textsuperscript{2} & Jupyter Notebook deployment & \checkmark \\\hline Equip with web interface, package image, provide REST API\textsuperscript{2} & \texttt{@GreatAI.create} & \checkmark\checkmark \\\hline Provide simple API for serving batch and real-time requests\textsuperscript{2} & \texttt{@GreatAI.create} & \checkmark\checkmark \\\hline @@ -87,146 +87,110 @@ Common schemas for common prediction tasks\textsuperscript{3} \FloatBarrier -In Table \ref{table:best-practices-2}, six additional best practices have been added which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These have not explicitly made it into the aforementioned surveys, however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. +In Table \ref{table:best-practices-2}, six additional best practices have been added, which are generally well-known software engineering considerations that are also applicable to AI/ML deployments. These had not explicitly made it into the aforementioned surveys; however, according to the insights gained from Sections \ref{section:simple-case} and \ref{section:complex-case}, implementing them has a positive effect on deployment quality. In future research, attention could be given to their level of industry-wide adoption and quantitative utility. -Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide --- sometimes overlapping --- range. Especially because there is some overlap between the different reviews and even within the reviews. However, it is still clear that a large number of best practices can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design while an even larger number of them can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). +Quantifying the number of implemented best practices would be misleading since their scope and importance cover a wide --- sometimes overlapping --- range, especially because there is some overlap between the different studies and even within the studies. However, it is still clear that a large number of best practices can be given a \textit{Fully automated} implementation by \textit{GreatAI}'s design, while an even larger number of them can be augmented by the library. This proves the feasibility of designing simple APIs using the techniques of Chapter \ref{chapter:design} for decreasing the complexity of correctly deploying AI services (\textbf{RQ2}). \section{Interviews} \label{section:interviews} -One of the takeaways of Chapter \ref{chapter:background} was that, for example, Seldon Core is useful for implementing or helping to implement many of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single best practice. According to the adoption rate surveys, this presumably discourages a large portion of practitioners from using it or other similar frameworks. \textit{GreatAI} offers a different mix of features, the initial threshold is virtually non-existent: best practices can be immediately applied. But at the same time, the presented solution covers a smaller number of practices. +One of the central takeaways of Section \ref{section:existing} was that, for example, Seldon Core is useful for implementing or helping to implement many of the best practices. Regardless, it also has an initial threshold that must be surmounted before implementing even a single one. According to the adoption rate surveys, this may discourage a large portion of practitioners from using it or other similar frameworks. The presented solution offers a different mix of features: the initial threshold is virtually non-existent; hence, best practices can be immediately applied. But at the same time, it only covers a more limited range of practices. -The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with 10 industry practitioners of varying AI/ML and SE experience and backgrounds. In this Section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered from the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median experience of 2.5 years) and Software Engineering (with a median experience of 2 years). +The hypothesis is that the latter approach aligns better with the expectations of professionals. To verify this, a series of interviews were conducted with ten industry practitioners of varying AI/ML and SE experience and backgrounds. In this section, the question of generalisability (\textbf{RQ4}) is investigated using the interview methodology described in Section \ref{section:interview-setup}. The participants were gathered through the recommendations of my friends and colleagues. All of the final interviewees have had at least some expertise in both Data Science (with a median experience of 2.5 years) and Software Engineering (with a median experience of 2 years). -\subsection{Best practices survey} +\subsection{Best practices survey} \label{subsection:best-practices-survey-results} -The practitioners were first asked to fill out a questionnaire about their latest AI/ML project, which involved deployment. This point-in-time survey (shown in Appendix \ref{appendix:practices}) served to measure a baseline for the deployment quality they are used to. Analysing the results show that the amount of software engineering experience has a moderately strong correlation ($r_{Pearson} = 0.67$ with $p = 0.0033$) with the overall number and extent of implemented deployment best practices. This is illustrated in Figure \ref{fig:adoption}. Interestingly, there is no similar statistically significant relationship when it comes to the amount of data science experience. +The practitioners were first asked to fill out a questionnaire about their latest AI/ML project involving deployment. This point-in-time measurement (shown in Appendix \ref{appendix:practices}) served as a baseline for the deployment quality they are used to. Analysing the results show that the amount of software engineering experience has a moderately strong correlation ($r_{Pearson} = 0.67$ with $p = 0.0033$) with the overall number and extent of implemented deployment best practices. This is illustrated in Figure \ref{fig:adoption}. Interestingly but unsurprisingly, there is no similar statistically significant relationship regarding the amount of data science experience. -The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. Because the survey's 15 questions were compiled from Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}. +The y-axis of Figure \ref{fig:adoption} is calculated by discarding the \textit{Not applicable} answers and projecting the 5-point Likert scale to a range from 0 to 1, which is subsequently averaged over all questions. The overall mean adoption rate/extent is just above 0.5, which equates to the \textit{Neither agree nor disagree} label. These data are in line with the findings of Serban et al. \cite{serban2020adoption}. Because the survey's 15 questions were compiled from Tables \ref{table:best-practices-1} and \ref{table:best-practices-2}, that means that when using \textit{GreatAI}, they are all implemented automatically. Consequently, the adoption rate/extent is doubled immediately: this is the added value of \textit{GreatAI}\footnote{As explained earlier, measuring quality as a function of best practice count would be dubious. Thus, the achieved magnitude of the doubling is not relevant; however, the direction of change is.}. Moreover, this provides further evidence for answering \textbf{RQ3} showing the extent of automatically implemented practices over \textit{non-GreatAI} deployments. \begin{figure} \centering \includegraphics[width=0.7\linewidth]{figures/best-practices.png} \captionsetup{width=.9\linewidth} - \caption{Best practices adoption rate as a function of software engineering experience. The point sizes denote the practitioners' experience in Data Science (DS). The correlation between the axes is $r_{Pearson} = 0.67$ with $p = 0.0033$.} + \caption{Best practices adoption rate as a function of software engineering experience. The point sizes denote the practitioners' experience in Data Science (DS). The correlation between the axes is significant ($r_{Pearson} = 0.67$ with $p = 0.0033$).} \label{fig:adoption} \end{figure} \subsection{Technology acceptance} -Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and the Intention to use (ITU) were analysed. Only two statistically significant ($P < 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable that both the perceived utility and the perceived ease of use play an equally important role in influencing potential clients' intention to use the deployment framework. +Participants filled out a form (shown in Appendix \ref{appendix:questions}) after finishing their first deployment with \textit{GreatAI} to provide data for creating the technology acceptance model of the problem context. The survey contained 12 questions from 3 categories, which could be rated on a 7-point Likert scale. Following the methodology of \cite{cruz2019catalog}, the connections between the Perceived Utility (PU), Perceived Ease Of Use (PEOU), and Intention To Use (ITU) were analysed. Only two statistically significant ($P < 0.05$) correlations were uncovered: between PU and ITU ($r_{Pearson} = 0.81$ with $p = 0.0048$); and PEOU and ITU ($r_{Pearson} = 0.80$ with $p = 0.0068$). Learning from the findings of prior case studies, it is reasonable that both the \textit{perceived utility} and the \textit{perceived ease of use} play an equally important role in influencing professionals' \textit{intention to use} the deployment framework. \begin{table}[H] \centering \captionsetup{width=.9\linewidth} -\caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The values are from a range between 1 and 7.} +\caption{Aggregated results of the TAM survey (sample size = 10) presented in Appendix \ref{appendix:questions}. The input values range from 1 to 7.} \label{table:tam} {\renewcommand{\arraystretch}{1.2} % for the vertical padding \begin{tabular}{|c|r|r|r|} \hline - & \textbf{Perceived ease of use} & \textbf{Perceived utility} & \textbf{Intention to use} \\\hline -\textbf{Median} & 5.750 & 6.375 & 6.250 \\\hline -\textbf{Mean} & 5.450 & 6.125 & 5.950 \\\hline -\textbf{Variance} & 1.080 & 0.740 & 1.747 \\\hline + & \textbf{Perceived ease of use} & \textbf{Perceived utility} & \textbf{Intention to use} \\\hline +\textbf{Median} & 5.750 & 6.375 & 6.250 \\\hline +\textbf{Mean} & 5.450 & 6.125 & 5.950 \\\hline +\textbf{Standard deviation} & 1.039 & 0.850 & 1.322 \\\hline \end{tabular}} \end{table} -The summary of the answers is presented in Table \ref{table:tam}. The value for ease of use lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high perceived utility implies that \textit{GreatAI} shows its value early on. This validates the hypothesis that focusing on good API design is just as important as providing practical features. +The summary of the answers is presented in Table \ref{table:tam}. The assessment of \textit{ease of use} lags behind the rest, but it is still quite high. It may be possible that PEOU would go up with further use. Nevertheless, the high \textit{perceived utility} implies that \textit{GreatAI} shows its value early on. This, combined with the correlations uncovered within the context's technology acceptance model, validates the hypothesis that focusing on good API design is just as necessary as providing practical features. \subsection{Task solving \& exit interviews} -To give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. First, the volunteers were requested to skim through the library's documentation beforehand, and they were also given a short verbal overview during the one-on-one meetings. This was followed by having them solve a prepared deployment task\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}.} concerning a similar lifecycle to that presented in the \textit{GreatAI} tutorials. The training part of the task had already been done, the participants only had to deploy a trained classification model. +In order to give qualitative depth to the previously presented quantitative results, it is time to discuss the main segment of the interviews. The participants' backgrounds cover a vast and fascinating cross-section of industrial AI/ML: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they had been doing recently. Stemming from this diversity, these semi-structured interviews should provide valuable insights into the generalisability of \textit{GreatAI}. -The participants' backgrounds cover a vast (and incredibly interesting) cross-section of industrial AI/ML use: one of them researched market prediction models for the Hungarian State Treasury, but building an upcoming digital bank's core services, investigating companies' AI use as part of due diligence processes, intrusion detection from network packet traces, creating pose-recognition for people with disabilities, and predicting Sun activity at the European Space Agency are just some of the core activities they have been doing recently. Stemming from this diversity, these semi-structured interviews should provide valuable insights into the generalisability of \textit{GreatAI}. +First, the volunteers were asked to skim through the library's documentation beforehand, and they were also given a short verbal overview during the one-on-one sessions. This was followed by having them solve a prepared deployment task\footnote{Available at \href{https://github.com/schmelczer/great-ai-interview-task}{github.com/schmelczer/great-ai-interview-task}.}, which is a more straightforward instance of the AI development lifecycle presented in the \textit{GreatAI} tutorials. The training part of the task had already been done, and the participants only had to deploy a trained classifier. The interviews took approximately one and a half hours each. -% The approach used to collect information from interviews and to report data -% is based on the guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} It is a reflexive, -% iterative process: -% 1. Audio taping of the interview and concurrent note-taking. -% 2. Reflective journaling immediately post-interview. -% 3. Listening to the audiotape and revising memos. -% 4. Triangulation. -% 5. Data analysis. +The guidelines proposed by Halcomb et al. \cite{halcomb2006verbatim} are followed for collecting information from interviews and reporting it. It is a reflexive, iterative process which starts by recording participants (with their permission) and concurrent note-taking. Reflective journaling is immediately done post-interview, which is subsequently extended and revised by listening to the recordings. Afterwards, the gathered information is interpreted by applying the methodology of thematic analysis \cite{alhojailan2012thematic}. -% The first two authors conducted the interviews, which took approximately one -% hour. We took notes during the interviews and we recorded the interviews with -% the permission of the participants. An example of the notes taken with P09 is -% shown in Fig. 4. This section outlines the main steps of our interview design. -% The full details can be found in our corresponding case study protocol [14]. +Thematic analysis is an iterative qualitative investigation technique consisting of labelling, correlating, and structuring the central recurring topics raised during discussions. It has been successfully used in previous software engineering studies for extracting emergent patterns \cite{haakman2021ai,cruz2019catalog}. After labelling each aspect of the feedback, and two iterations of merging redundant or related topics, we end up with three overarching themes: \textit{Functionality}, \textit{API}, and \textit{Responsibility to adopt}. As we will soon see, these correspond to the \textit{perceived utility}, \textit{perceived ease of use}, and \textit{intetion to use} components of TAM moderately well. -% Also, the process of memoing assisted -% the researchers to capture their thoughts and interpretations of the interview -% data [44]. The audio recordings could still be used to facilitate a review of -% the interviewers’ performance, and assist interviewers to fill in blank spaces in -% their field notes and check the relationship between the notes and the actual -% responses [12]. +\paragraph{Functionality} The library's feature-set was complimented during most interviews, with one participant noting that, although the overall number of features is relatively small, most of them are utilised in most cases. Similarly, the \texttt{utilities} submodule was appreciated for helping greatly in the interview task, but non-NLP researchers noted its likely inadequacy for their area. Still, they would like to see ``bundle'' or ``toolbox''-style modules for their fields because it would save them from a lot of copy-pasting. -% . Thematic analysis is a qualitative data analysis -% method divided into four steps: 1) familiarization with data, 2) generating -% initial labels, 3) reviewing themes, 4) defining and naming themes. This tech- -% nique has been successfully used in previous software engineering studies to -% extract patterns from software [9]. +The easy parallel feature extraction and large file handling support were highlighted multiple times for the reason that the particular interviewees had not encountered other libraries providing these features. Other concrete features, such as the searchable \textit{exceptions} column in the Dashboard's table and the \textit{feedback} mechanism, were also popular. One professional highlighted the latter for coercing users to consider a human-in-the-loop approach which is said to be often expected in modern systems. -% This step was followed by reviewing themes – step 3 of thematic analysis – -% in which we discussed each label and looked for other labels that could be -% redundant. For example, we merged the labels Feasibility Study and Proof of -% Concept together into a single theme. This step yielded 11 overarching themes -% that we further detail in Section 4. -% ----------------------------- +When reflecting on the framework from a bird's eye view, the generality and extendability of the API were emphasised. As explained by a senior engineer, this is mainly because once you commit to using it, it is important not to find yourself at a dead end for a specific use case forcing you to look for a different library. However, two participants also noted that for complete generality, \texttt{MATLAB} support would be necessary. Regarding non-functional features, private hosting (especially in banking and government), open-source auditability, and easy scaling (by means of an external database) were the top subjects of praise. -### functionality (PU) -+ You get a lot of features -+ Debugging traces is nice, had some privacy concerns but was easy to find the solution in the docs -> disable\_logging=True -+ it forces you to do Human in the loop -+ Private cloud is very important in banking/treasury -+ Scales well because doesn't depend on 1 DB -+ Utilities good, hate writing feature extraction, Parallel feature extraction is fascinating, + Great for NLP, should work for other domains if utilities are implemented -+ being extendable very important because if you start using it you get locked into it -+ important to have support for all libs e.g. external matlab -+ Largefile good, haven't heard of other solutions, versioning important -> awareness +\paragraph{API} Regarding the surface through which clients interact with the library, the feedback is also positive but more nuanced. Many participants liked that the functions' behaviour is easy to guess from their names. The decorator syntax caused minor confusion but consulting the documentation solved the issues in all three cases. The CLI app \texttt{great-ai} was appreciated for having a close to trivial signature; the participant noted that she strives to use as few CLI commands as feasible. Surprisingly, even the practitioners with more data science background appreciated the Docker support. Nonetheless, one expert had a feature request for a configuration UI because his colleagues are used to handling MATLAB App Designer applications. -### API (PEOU) -- Do data scientists know what decorators are? -- Parameter decorators on the function are bit weird but doesn't know how to do it better -You cannot make an API simpler than the domain but you made it as simple as it could get - Magic save, where does it go? Transparency, balance between too automatic and simple -+ Hates complicated CLI-s, great-ai is very simple -+ Likes Docker, researchers know that -- Won't use if it doesn't work out-of-the-box (this time, it worked, but focusin on the starter code is important) -- Want clickable UI for setting the config - scientists (matlab deployment) +The recurring theme of the discussions focused on the question of ``\textit{How simple is too simple?}''. The argument is that an API cannot be simpler than the domain in which it exists. More precisely, it can only be simpler at the cost of losing transparency. Let us take the example of saving models using \texttt{save\_model()}. If a project is set up correctly, it either has an initial \texttt{configure} call to the storage provider backend, or it has an appropriately named credentials file in the project's root, for instance, \texttt{s3.ini} or \texttt{mongo.ini}. Once set up, it is trivial to use as long as we do not divert from the happy path. However, if an issue arises, such as an upgrade or migration of MongoDB, debugging the application is non-trivial for its lack of transparency. -### Whose responsibility is this? (ITU) -- If I had to implement a REST API for a model, I'd do that instead of searching for a lib -Easier to raise awareness if you have a solution +In other words, we could say that the average (cognitive) complexity is low while the worst-case is as high --- if not higher --- than without using \texttt{save\_model()}. This proved to be somewhat controversial. However, ultimately, optimising the happy path of the AI/ML development lifecycle was deemed worthwhile by the participants in most cases. With the argument that the majority of the time spent during a project is spent on this path anyway. However, this raises the question of who exactly are the target users of \textit{GreatAI} and who will fix arising issues? -research CD very poor and even industrial projects are sometimes one-man -Cron job runs Matlab script that copies it to the prod env -They used Colab + GitHub + W&B for the treasury -> Add one-click app, heroku -- Already using AWS, sagemaker is preferred +\paragraph{Responsibility to adopt} Let us first look at some insightful anecdotes that surfaced during the interviews. Especially in more research-oriented environments, production deployment pipelines can be of questionable robustness. This was demonstrated by one account of a simple single-machine deployment's pipeline: it is an interplay of \texttt{cron} jobs calling a series of shell and MATLAB scripts resembling a Rube Goldberg machine. But, connecting a couple of Google Colab accounts to a GitHub repository and Weights\&Biases to implement parallel model training can also be found in the industry. -- Trying to appeal to both DS and SE was confusing at first, why training in tutorial if it's a deployment lib -- Whose responsibility is using the lib? - What happens when you have to configure it? -+ You need so many different experts for a single project, too many, SE is often missing -- AI is mostly used in academy, they have no reason to do good deployment or deployment at all -DS, domain experts don't care about best-practices, End results should look nice, no one cares about behind the scenes -You have to give a value proposition: low maintenance, low cost, better quality -At one company, they had 0 DS people for 3 years, High-level solution can substitute missing professionals imo -Shouldn't care about DS but instead decision-makers because they chose not to hire SE - + You can have fewer SE-s instead of 0 but still more than 0 and they're effective with great-ai +These, when combined with the fact that various research companies were mentioned that for multiple years used to or still have an R\&D department consisting solely of data scientists. In one extreme case, the staff was described as more than 30 data scientists and 0 other technical employees. In such a setup, it is unreasonable to expect even professionals to have the capabilities and focus to set up the required foundation for handling all best practices. All but one interviewee verified this assumption. They also referred to their previous projects, which usually required many researchers and experts from various fields, and too often, software engineers are not prioritised to be included. + +Doing software engineering without software engineers is difficult. \textit{GreatAI} is not a viable replacement for any well-trained expert, though it is still better than nothing. During the interviews, we realised that the likely underlying reason for not employing AI engineers or software engineers as part of AI/ML projects is a lack of awareness. This was theorised by some and demonstrated by six participants who had, even though followed some, not explicitly sought out AI deployment best practices. Thus, raising awareness --- especially by presenting a value proposition, e.g. lower maintenance costs, better long-term quality --- might be crucial for generally improving AI deployments. Verifying this hypothesis could be a worthwhile direction for future research. + +During the larger discussions, \textit{GreatAI} was deemed appropriate for awareness raising since it showcases how even a simple library is able to implement a lot of best practices. Additionally, it was noted that it could also be considered for one-person projects where --- by definition --- it is admissible to have no SE expert on the ``team''. To further help such cases, integrating a one-click Heroku\footnote{\href{https://www.heroku.com/}{heroku.com}} app deployment was also recommended to simplify the entire second half of the lifecycle. + +\subsection{Discussion of interviews} + +My overall takeaway from this is that most features were well-received, and the high mean value of \textit{perceived utility} is credible. The criticism of being NLP-centric is also justified: the initial scope of the proof-of-principle framework was limited to this domain. Nonetheless, learning the experts' opinion that they wish to have a similarly specific solution to their problem contexts is reassuring because it proves that the API is not only generalisable but is expected to be generalised. At the same time, it is crucial to admit that no one-size-fits-all solution can exist for such a diverse domain. Therefore, allowing customizability and easy extension of the system must remain central design questions. + +Regarding the API's level of abstraction, I have to agree with the experts that the problem of deployment cannot be ``magically'' solved by a trivial API. However, solving deployment problems can be streamlined, at least in simpler cases. While the complex ones can be left to the professionals with relevant knowledge. This parallels the AI-libraries that have inspired \textit{GreatAI}, for instance, HuggingFace's \texttt{transformers} streamlines fine-tuning and applying SOTA models, but it does not provide any facilities to help you create the next SOTA architecture because that is a vastly more complex task that most users do not wish to tackle. + +In order to reach its goal of improving best practice adoption, \textit{GreatAI} can help raise awareness by presenting a verifiable value proposition, i.e. a couple of lines of code can already result in more maintainable, robust, high-quality deployments. This might prompt users or technical decision-makers to invest more in software engineering in AI/ML projects. Additionally, it can help the effectiveness of AI/software engineers by handling the grunt work of implementing some best practices and therefore leave them with more resources to focus on the complex and creative aspects of \textit{GREAT} deployments. + +In summary, the answer to \textit{How suitable is the design of GreatAI for helping to apply best practices in other contexts?} (\textbf{RQ4}) is --- unsurprisingly --- subjective. Combining the high value of \textit{intention to use} from Table \ref{table:tam}, the generally positive feedback regarding the library's added value, and numerous feature requests for fine-tuning it to specific needs, we can conclude that there is some chance of suitability for generalisability. The existence of this potential is already exciting and presents an opportunity for experimenting with building on the design of \textit{GreatAI}. \subsection{Threats to validity} +Two potential threats to the validity of the experiments and their results are identified. Firstly, the claimed utility of the framework derived in Subsection \ref{subsection:best-practices-survey-results} does not take into account the practical significance of the implemented features and, therefore, may be subject to bias. However, the \textit{perceived utility} evaluations indicate that the participating engineers and scientists identify practical value in the features of \textit{GreatAI}. Nevertheless, in the future, we intend to extend the range of implemented best practices, which would in turn, give higher confidence about the achievable quantitative improvement through using the library. + +Secondly, the survey answers and, in general, the interviewees may be subject to bias. The small sample size of practitioners can reasonably lead to some groups being over- or under-represented. The presence of selection bias is also plausible. These could be mitigated by gathering more data in future research. Coming from the exploratory nature of this analysis, many insights could be gained from the collected data. However, for confidently generalising the results, more data are needed. + \section{Future work} -The primary purpose of \textit{GreatAI} was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. Although it has already proved its utility, it has also shown that extending its functionality would be worthwhile. Therefore, a number of potential improvements to \textit{GreatAI} are presented below. +The primary purpose of the library was to serve as a proxy through which its design decisions could be tested and evaluated in their practical context. For this reason, its design aimed to be a proof-of-principle for validating hypotheses and answering research questions. After successfully doing that, it has been turned into a practical software library suitable for production-use\footnote{\href{https://pypi.org/project/great-ai/}{pypi.org/project/great-ai}}. Although it has already proved its utility, it has also shown that extending its functionality would be worthwhile. Therefore, a number of potential improvements to \textit{GreatAI} are presented below primarily from the needs arisen during the exit interviews. -\subsection{More data science} +\subsection{More AI/ML fields} -The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, unsurprisingly, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data while the latter gives robust feature extraction support for only textual inputs. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview for them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for widely extending the scope of applicability of \textit{GreatAI}. +The cases presented in Chapter \ref{chapter:case} revolved around NLP. This, of course, heavily influenced the design process. The two most notable effects can be found in the REST API's \texttt{/predict} endpoint and some \texttt{utilities} functions. The former is streamlined to accept JSON-compatible data, while the latter gives robust feature extraction support for only textual input. Supporting the easy, direct upload of larger non-JSON files --- e.g. by saving them to S3 and showing a preview for them on the Dashboard's trace table --- and extending \texttt{utilities} to handle multimedia formats should be sufficient for widely expanding the scope of applicability of \textit{GreatAI}. -\subsection{More software engineering} +\subsection{More best practices} -In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined, multi-level schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents, however, if there is some existing database in the environment, storing Traces in that can be favourable. \href{https://www.postgresql.org/}{PostgreSQL} is a popular choice and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. +In order to greatly simplify its API, each \textit{GreatAI} Trace is a single document with a well-defined, multi-level schema that clients can also extend by calling \texttt{log\_metric}. MongoDB provides a convenient (and popular) method for persisting such documents; however, if there is some existing database in the environment, storing Traces in that can be favourable. \href{https://www.postgresql.org/}{PostgreSQL} is a popular choice, and it also features good JSON document support. Hence, introducing first-class integration for PostgreSQL could benefit some clients. As described in Designing Data-intensive Applications \cite{kleppmann2017designing}, services can fall into three broad categories: online systems, batch processing, and stream processing (near-teal-time systems). As of yet, \textit{GreatAI} only provides streamlined support for the first two. Thus, developer experience could be improved by providing simple, direct integration with popular message queues/protocols, such as \href{https://kafka.apache.org/}{Apache Kafka} \cite{kreps2011kafka}, \href{https://aws.amazon.com/sqs/}{AWS SQS} \cite{garfinkel2007evaluation}, or \href{https://www.amqp.org/}{AMQP} \cite{vinoski2006advanced}. -Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces can be already conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. +Some metrics of \textit{GreatAI}, such as the cache statistics, versions, and derived data from traces, can already be conveniently queried from its REST API. Nevertheless, adding support for the de facto standard metric gathering tool \href{https://prometheus.io/}{Prometheus} could save the library's users from one more integration step. -The common theme among the above-mentioned opportunities is that they could be reasonably well implemented without any user input, making them in line with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} also allows anyone to already provide support for a wide range of integrations. Additionally, the scope could be also reasonably extended, i.e. more practices could be covered by including more criteria next to the GREAT ones. +The common theme among the opportunities mentioned above is that they could be reasonably well implemented without any user input, which aligns with the library's philosophy. Of course, the open-source nature of \textit{GreatAI} also allows anyone already to provide support for a wide range of integrations. Additionally, the scope could be reasonably extended, i.e. more practices could also be incorporated into the scope by including more criteria next to the \textit{GREAT} ones. diff --git a/docs/thesis/chapters/7_conclusion.tex b/docs/thesis/chapters/7_conclusion.tex index bf9b628..64fa820 100644 --- a/docs/thesis/chapters/7_conclusion.tex +++ b/docs/thesis/chapters/7_conclusion.tex @@ -1,7 +1,15 @@ -\chapter{Conclusion} \label{chapter:conclusion} +\chapter{Conclusion} \label{chapter:conclusion} -todo +Concerned by the asymmetry between the industry's adoption of accessible AI/ML-libraries and existing solutions for their robust deployment, we investigated this phenomenon's causes and potential resolution. When looking at various recent case studies, a recurring theme was revealed: \textit{transitioning} from prototype to production-ready AI/ML deployment is a source of adversity for small and large enterprises alike. Even though several frameworks and platforms exist for facilitating this step, surveys on the execution of best practices continue to expose the industry's shortcomings. This signals that existing libraries are underutilised, which may lead to poor AI deployments that underperform or develop issues that go unnoticed and might inflict societal harm. -\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments --- while, at the same time, it saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is viable by designing narrower and deeper APIs. +It was hypothesised that presenting a library which implements best practices and is also optimised for ease of adoption could help increase the overall quality of industrial AI/ML deployments. To test this, a framework was designed and implemented based on the principles of cognitive science and the prior art of software design. The design was subsequently tested and refined in an iterative process. First, a model was developed and deployed for classifying the domains of academic publications. Then, a SciBERT model was fine-tuned and deployed for generating the technology-transfer summaries of the same publications. \textit{GreatAI} had been proven helpful; therefore, after feeding back the insights gained into its design, it was turned into an open-source library. Furthermore, \textit{GreatAI} has been successfully integrated into every production deployment of ScoutinScience since then and recieves thousands of monthly downloads. -Good deployments benefit all of us. Henceforth, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results show --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle. Having automated implementations, even if for just more straightforward best practices, leaves professionals more time to tackle other deployment challenges and fewer opportunities to miss crucial steps. Overall, resulting in more implemented practices, hence, robust and trustworthy production software. +During the refinement of the framework, six previously unaddressed AI/ML deployment best practices were identified. Including these, the framework fully implements 17 best practices while it provides support for another 16. The value provided by implementing or helping to implement these practices was validated through interviews with ten industry professionals from various fields. + +The interview participants completed two questionnaires, the results of one of which indicated that using \textit{GreatAI} in an example task increased the number of implemented best practices by 49\% compared with their latest project. The technology acceptance model was also calculated for the context; a significantly strong correlation was measured between the perceived ease of use, the perceived utility and the intention to use dimensions. Overall, proving that ease of use is just as important as core functionality when it comes to adopting AI deployment frameworks. + +The open-ended exit interviews revealed that value can be derived from the library even in its current form and that the API's design has the opportunity to generalise to other fields of industrial AI/ML applications. However, they also highlighted that adoption issues do not necessarily come from a lack of willingness but a lack of awareness. Even if the returns achievable from good deployments are well worth the investment. Nevertheless, this value proposition needs to be conveyed and proved to data science professionals and technical decision-makers; and \textit{GreatAI} might just be the ideal candidate for that. + +\textit{GreatAI} may have the potential to bridge the gap between data science and software engineering. Stemming from the bidirectional nature of bridges, we can look at the framework from two perspectives: for professionals closer to the field of data science, it provides an automatic scaffolding of software facilities that are required for deploying, monitoring, and iterating on their models. For software engineers, it highlights the necessary steps required for robust and improvable deployments. At the same time, it also saves them from the menial work of manually implementing these constructs. While most importantly, it proves that increasing the adoption rate of AI/ML deployment best practices is feasible by designing narrower and deeper APIs. + +Good deployments benefit all of us. Accordingly, continued research into the means of good deployments remains crucial. However, next to that --- as the presented results have shown --- better deployments can also be achieved by facilitating the \textit{transition} step of the AI lifecycle with a focus on adoptability. Having automated implementations, even if for just the straightforward best practices, leaves professionals additional time to tackle the more complex deployment challenges and fewer opportunities to miss critical steps. Overall, resulting in more robust, end-to-end automated, and trustworthy AI deployments. diff --git a/docs/thesis/comments.txt b/docs/thesis/comments.txt index 5f0d045..a528696 100644 --- a/docs/thesis/comments.txt +++ b/docs/thesis/comments.txt @@ -1,7 +1,176 @@ -% I use a toy example when quickly experimenting, it's important not to overfit on it ( moving it into the library would result in a online for it, so I have to consciously avoid that), but having a very simple +Thesis notes -% Argumetn/parameter names were confusing -% offlinemode -> cacheonly mode -% Should the order of the decorators matter? all except in one case, they're written in a way that the order doesn't matter even with the original semantics of decorators. In that one case, it cannot be written in that way. Instead of correcting a user's error, there's a mechanism looking for this error and the user is notified. Guessing the unspecified is cool, but correcting the wrong is not +Should the order of the decorators matter? all except in one case, they're written in a way that the order doesn't matter even with the original semantics of decorators. In that one case, it cannot be written in that way. Instead of correcting a user's error, there's a mechanism looking for this error and the user is notified. Guessing the unspecified is cool, but correcting the wrong is not +✅ hot-reload +✅ Extract doc comment from function with markdown +✅ Evaluate endpoint +✅ body instead of query +✅ automatically find parameters +✅ Generic return types +✅ Data engineer notebook, ds notebook, deployment script +✅ Nice error handling +✅ notebook support +✅ Evaluation result return type that contains explanation - explanation field +✅ largefiles mongo backend +✅ Fix endpoints +✅ Bug: should recreate table +✅ Mongo, Create index for each encountered field - async +✅ Save test/train data - tags and ground truth classifier? +✅ Handle multiple great ai instances +✅ create_shadow_deployment -> traceId, evaluationId + +Show model accuracy statistics +Test entry point function -> with expected error rate + +Show data distribution - buttons in header? + +Cannot be installed -> save model card, https://github.com/tensorflow/model-card-toolkit + +Cannot use google-research/robustness_metrics Only works for TF + +Why do I have a complex example, it's supposed to be a simple library +Argumetn/parameter names were confusing + +For example: large file is easy to replace, the decisions are found by the best practices table and highlighted on the dashboard + +During development, I wanted to check out which types of request fail -> log errors in traces +Even production systems are not perfect, saving and letting the users filter on the errors is useful. e.g. they can correlate it with the input + +Should the order of the decorators matter? all except in one case, they're written in a way that the order doesn't matter even with the original semantics of decorators. In that one case, it cannot be written in that way. Instead of correcting a user's error, there's a mechanism looking for this error and the user is notified. Guessing the unspecified is cool, but correcting the wrong is not + +Users like sonar checks, ci/cd, docker files, makes the project seem more trustworthy, also provides integration for them + +Leslie Lamport: problems are difficult to find at a research h table, they come from practice + +%matplotlib inline is called automatically on first draw, very confusing as it resets the rcParams, you have to set them twice, like come on + + Have to explicitly write version="latest" to signify that it can change any time someone uploads a new model + +offline_mode -> cache_only_mode + +-------------------------------------------- + +Design science methodology for information systems and software engineering \cite{wieringa2014design} + +design science research are design problems through its research method, the design cycle + +Design science is the design and investigation of artifacts in context + +Help a class of stakeholders + +e, we outline a research agenda for AI engineering research to help the research community structure and conceptualize the problem space. +]. In addition to this, model deployment is a highly underestimated area [3]. + + +Unfortunately, our research [3]–[5] shows that the transition from prototype to production-quality deployment of ML models proves to be challenging for many companies. + +AI engineering (which we define as an extension of Software Engineering with new processes and technologies needed for development and evolution of AI systems +a set of 16 primary cases as the foundation for the challenges we identify and the research agenda we outline. + +cases representing startups as well as large multinational companies in domains such as e.g. real estate, weather forecasting, fraud detection, sentiment analysis and failure prediction + +we outline a research agenda for AI engineering research to help the research community structure and conceptualize the problem space + +significant additional functionality is required to ensure that the ML/DL model can operate in a reliable and predictable fashion with proper engineering of data pipelines, monitoring and logging, etc. [2], [11]. T + +Instead, we provide an overview in figure 2 and present a categorization of the identified problems in four strategic focus areas, relating to the typical phases of a ML project. These four areas are the following: + + +AI Lifecycle Models Need To Be Revised \cite{haakman2021ai} + +Fintech - ING + +We have found that the following stages have been overlooked by previous lifecycle models: data collection, feasibility study, documentation, model monitoring, and model risk assessment. +more focus is needed on the entire lifecycle. In particular, regardless of the existing development tools for Machine Learning, we observe that they are still not meeting the particularities of this field. + +Cross-Industry Standard Process for Data Mining (CRISP-DM) [39] and the Team Data Science Process (TDSP) +\cite{wirth2000crisp} +https://docs.microsoft.com/en-us/azure/architecture/data-science-process/overview + +What if you just use huggingface? + +"it is hard to isolate two different machine learning models that operate in the same systemA – often they ought to be developed and training together" + +For example, the team of P08 keeps track of an experiment log using a spreadsheet, in which the training set, validation set, model, and preprocessing steps are specified for each version. This approach for versioning is preferred over solutions like MLFlow7 for the sake of simplicity + +Teams resort to self-developed or highly-customized dashboard platforms to monitor the models (P15, P16) + +Researchers could focus on solving the reported challenges in the Machine Learning lifecycle with additional tool support and reveal challenges of the ML lifecycle in other domains by extending the case study to more organizations and different types of industries +Our study shows that, despite the increasing trend on improving the state-of-the-art model training techniques, there is a research gap on the challenges of developing real-world machine learning systems. F + +It is also necessary to create holistic monitoring solutions that can scale to different models in an organization + + + +AI Deployment Architecture: Multi-Case Study for Key Factor Identification +According to [12] and [13], developing, deploying and maintaining complex commercial ML-based system is a challenging task. Most ML-based systems have strict latency requirements at inference stage [14]. Training-serving skew also results in sub-optimal model performance [15]. For the realistic implementation of ML, there is a need to consider and adapt well established SE practices which have been ignored or had a very narrow focus in ML literature [16] [17]. + +Software Engineering for Machine Learning: A Case Study + +MicrosoftE + +Automation is a vital cross-cutting concern + +Automating tests is as important in machine learning as it is in software engineering; teams create carefully put-together test sets that capture what their models should do. However, it is important that a human remains in the loop. One respondent said, “we spot check and have a human look at the errors to see why this particular category is not doing well, and then hypothesize to figure out problem source.” + +In addition, respondents with low experience rank challenges with integrating AI into larger systems higher than those with medium or high experience. + +. Software engineers prefer to design and build systems which are elegant, abstract, modular, and simple. By contrast, the data used in machine learning are voluminous, context-specific, heterogeneous, and often complex to describe. These differences result in difficult problems when ML models are integrated into software systems at scale. + +--- + +[3] AI components can be entangled in complex ways +. Thus, even if separate teams built each model, they would have to collaborate closely in order to properly train or maintain the full system. This phenomenon (also referred to as component entanglement) can lead to non-monotonic error propagation, meaning that improvements in one part of the system might decrease the overall system quality because the rest of the system is not tuned to the latest improvements. + +Ethics guidelines for trustworthy AI + +https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai + +> (3) robust - both from a technical perspective while taking into account its social environment + +7 key requirements +Human agency and oversight: +Technical Robustness and safety:  +Transparency +Accountability + +Understanding Development Process of Machine Learning Systems: Challenges and Solutions \cite{de2019understanding} + +Given that several ML system development companies are either startups or small companies with few developers, it is of utmost importance to understand the needs and challenges of developers working in these small organizations. + +ns. However, there is a gap in understanding how professionals develop ML systems in small and local companies. + + +Versioning for End-to-End Machine Learning Pipelines \cite{van2017versioning} +Highlights the importance of schema versioning in an environment of rapidly changing models and transformations + +Adoption and Effects of Software Engineering Best FinaPractices in Machine Learning \cite{serban2020adoption} +aim: determine the state of the art in how teams develop, deploy and maintain software with ML components. + +t traditional software engineering practices tend to have lower adoption than ML specific practices + +distilled a set of 29 engineering best practices + +For example, our results suggest that traceability would benefit most from increased adoption of practice 25, the logging of production predictions with model versions and input data. + +Practices for Engineering Trustworthy Machine Learning Applications \cite{serban2021practices} + +the negative impact that improper use of ML can have on users and society is now also widely recognised + +In total, we identified 14 new practices, and used them to complement an existing catalogue of ML engineering practices. + +Well-intentioned but improper development of ML components can cause unintentional harm [2]. + +trustworthy ML is relatively low. + +clearly reflect a desire for ML components to be lawful, ethical and robust [1]. 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