Changes as per review comments to add std

Author: choudhary-shivani

guide/14-deep-learning/address_standerdization_using_model_extension.ipynb

@@ -191,7 +191,7 @@
     "2. **`ModelType`**: Specifies the type of task; for the **Text Using Deep Learning**, this will be set to `SequenceToSequence`.\n",
     "3. **`OutputField`**: The name of the field where the output will be stored.\n",
     "\n",
-    "Other keys are prerogative of the Model extension author. In this instance, we've also incorporated `examples` and `prompt` related to **few-shot prompting**. This information will help us create a clear and effective prompt for the task at hand."
+    "Other keys are the prerogative of the Model extension author. In this instance, we've also incorporated `examples` and `prompt` related to **few-shot prompting**. This information will help us create a clear and effective prompt for the task at hand."
    ]
   },
   {
@@ -416,7 +416,7 @@
    "id": "85296efe-2889-466f-a985-82c9353d0065",
    "metadata": {},
    "source": [
-    "This function receives `kwargs`, which contain parameter names and values collected from the user. Additionally, it includes parameters like `batch_size`, which controls the tool's behavior. The Text Transform Tool supports customization of `batch_size`, determining how many records are processed in a single batch. This parameter plays a crucial role in optimizing the tool's performance."
+    "This function receives `kwargs` that contain parameter names and values collected from the user.. Additionally, it includes parameters like `batch_size`, which controls the tool's behavior. The Text Transform Tool supports customization of `batch_size`, determining how many records are processed in a single batch. This parameter plays a crucial role in optimizing the tool's performance."
    ]
   },
   {