Changes based on review comments from Breck

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 to 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 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."
    ]
   },
   {
@@ -244,7 +244,7 @@
    "id": "ccc1cbc9-d4dd-46bd-b6ad-578a0aa6d797",
    "metadata": {},
    "source": [
-    "The model extension requires the process to be wrapped in a class that must implement the following functions:\n",
+    "The model extension requires the process be wrapped in a class that implements the following functions:\n",
     "\n",
     "- `__init__`\n",
     "\n",
@@ -305,7 +305,7 @@
    "id": "f9aa02e1-fc97-428e-908e-c271b33c5670",
    "metadata": {},
    "source": [
-    "This function is designed to collect parameters from the user through the **Transform Text Using Deep Learning (GeoAI)** Tool. To connect to the GPT-3.5 deployment on Azure, we require the `API key`, `base URL`, and `deployment name`. Since these parameters are sensitive, we will prompt the user for this information instead of hardcoding it within the file."
+    "This function is designed to collect parameters from the user through the **Transform Text Using Deep Learning (GeoAI)** Tool. To connect to the GPT-3.5 deployment on Azure, we require the `API key`, `base URL`, and `deployment name` parameters. Since these parameters are sensitive, we will prompt the user for this information instead of hardcoding it within the file."
    ]
   },
   {
@@ -739,7 +739,7 @@
    "id": "295a59e6-0d2c-4276-941e-45b8b1f554c8",
    "metadata": {},
    "source": [
-    "To complete a custom NLP function setup, create a ESRI Deep Learning Package (.dlpk) file. \n",
+    "To complete a custom NLP function setup, create an ESRI Deep Learning Package (.dlpk) file.\n",
     "\n",
     "Organize the files as follows:\n",
     "\n",
@@ -892,7 +892,7 @@
    "id": "ce393c87",
    "metadata": {},
    "source": [
-    "In this notebook, we developed an address standardization model using GPT-3.5 with extensibility fucntion. The dataset consisted of non-standard, incorrect house addresses and from the United States. We leveraged the capabilities of GPT-3.5 to efficiently standardize input house addresses. Below are the results from the sample inputs."
+    "In this notebook, we developed an address standardization model using GPT-3.5 with extensibility function. The dataset consisted of non-standard, incorrect house addresses from the United States. We leveraged the capabilities of GPT-3.5 to efficiently standardize input house addresses. Below are the results from the sample inputs."
    ]
   },
   {