Deployed 8d1ad9a with MkDocs version: 1.3.0
This commit is contained in:
parent
1a6a68ffcc
commit
25a66fb86b
46 changed files with 10768 additions and 1924 deletions
13
index.md
13
index.md
|
|
@ -4,12 +4,12 @@
|
|||
</div>
|
||||
|
||||
[](https://sonar.scoutinscience.com/dashboard?id=great-ai)
|
||||
[](https://sonar.scoutinscience.com/dashboard?id=great-ai)
|
||||
[](https://sonar.scoutinscience.com/dashboard?id=great-ai)
|
||||
[](https://github.com/schmelczer/great-ai/actions/workflows/test.yml)
|
||||
[](https://github.com/schmelczer/great-ai/actions/workflows/publish.yaml)
|
||||
[](https://github.com/schmelczer/great-ai/actions/workflows/docker.yaml)
|
||||
[](https://badge.fury.io/py/great-ai)
|
||||
[](https://pepy.tech/project/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==.
|
||||
|
||||
|
|
@ -42,6 +42,7 @@ Applying AI is becoming increasingly easier but many case studies have shown tha
|
|||
- [x] Deployable Jupyter Notebooks
|
||||
- [x] Dashboard for high-level overview and analysing traces
|
||||
- [ ] Support for direct file input
|
||||
- [ ] Support for PostgreSQL
|
||||
|
||||
## Hello world
|
||||
|
||||
|
|
@ -85,7 +86,7 @@ great-ai hello-world.py
|
|||
|
||||

|
||||
|
||||
GreatAI fits between the prototype and deployment phase of your (or your organisation's) AI development lifecycle. This is highlighted with blue in the diagram. Here, a number of 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 with blue in the diagram. Here, a number of 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
|
||||
|
|
@ -110,5 +111,5 @@ However, research indicates that professionals rarely use them. This may be due
|
|||
|
||||
GreatAI has been battle-tested on the core platform services of [ScoutinScience](https://www.scoutinscience.com/){ target=_blank }.
|
||||
|
||||

|
||||

|
||||
{ loading=lazy }
|
||||
{ loading=lazy }
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue