Fix issues from @angyaloliver's feedback

docs/tutorial/deploy.ipynb

@@ -139,7 +139,7 @@
    "source": [
     "Congrats, you've just created your first GreatAI service! 🎉\n",
     "\n",
-    "Now that you've made sure your application is hardened enough for the intended use case, it is time to deploy it. The responsibilities of GreatAI end when it wraps your inference function and model into a production-ready service. You're given the freedom and responsibility to deploy this service. Fortunately, you (or your organisation) probably already has an established routine for deploying services.\n",
+    "Now that you've made sure your application is hardened enough for the intended use case, it is time to deploy it. The responsibilities of GreatAI end when it wraps your inference function and model into a production-ready service. You're given the freedom and responsibility to deploy this service. Fortunately, you (or your organisation) probably already have an established routine for deploying services.\n",
     "\n",
     "There are three main approaches to deploy a GreatAI service: For more info about them, check out [the deployment how-to](/how-to-guides/use-service).\n",
     "\n",

docs/tutorial/train.ipynb

@@ -60,7 +60,7 @@
    "source": [
     "Now, we can load the dataset and extract the *training* samples from it. Since we're impatient, we can do it in parallel using the [`simple_parallel_map`](/reference/utilities/#great_ai.utilities.simple_parallel_map) function.\n",
     "\n",
-    "> Open files in Python are iterable, with a line being return (in text mode) with each iteration."
+    "> Open files in Python are iterable: in text mode, each iteration returns the next line."
    ]
   },
   {