Porting the changes from next branch

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."
    ]
   },
   {

guide/14-deep-learning/exploring_model_extensibility_for_named_entity_recognition.ipynb

@@ -132,7 +132,7 @@
     "\n",
     "1. **InferenceFunction**: This key specifies the name of the module that defines the NLP function.\n",
     "2. **ModelType**: This key indicates the type of task. For the **Extract Entities Using Deep Learning (GeoAI)** tool, the value will be `Transformer`.\n",
-    "3. **ArcGISLearnVersion**: This facility is introduced 2.4.0 and helps  **Extract Entities Using Deep Learning (GeoAI)** to filter the previous dlpk.\n",
+    "3. **ArcGISLearnVersion**: NLP functions are supported in `arcgis.learn` from version 2.4.0 onward. This parameter is used to exclude older `.dlpk` files that have unsupported NLP functions.\n",
     "\n",
     "Additional keys can be defined at the discretion of the model extension author. In this instance, we have included the pre-trained model name under the key **PretrainedModel**."
    ]
@@ -237,7 +237,7 @@
    "id": "1c20706a-296c-4921-8043-230cb2078f8b",
    "metadata": {},
    "source": [
-    "This function is designed to collect parameters from the user through the Extract Entities Using Deep Learning (GeoAI). For our use case, it will gather the name of the **entity** to be extracted from the input text. The default value will be a comma-separated string of the aforementioned classes."
+    "This function is designed to collect parameters from the user through Extract Entities Using Deep Learning (GeoAI). For our use case, it will gather the name of the **entity** to be extracted from the input text. The default value will be a comma-separated string of the aforementioned classes."
    ]
   },
   {

guide/14-deep-learning/leveraging_llms_for_real_time_decision_making_in_calamities.ipynb

@@ -210,13 +210,13 @@
    "id": "6aa80d78-407c-499f-b4b3-76a11f3bc6db",
    "metadata": {},
    "source": [
-    "The ESRI Model Definition (.emd) file will include both required and optional keys to facilitate model execution. To run **Classify Text Using Deep Learning (GeoAI)** Tool, we need to supply the `InferenceFunction`, `ModelType` and `OutputField`. \n",
+    "The ESRI Model Definition (.emd) file will include both required and optional keys to facilitate model execution. To run the **Classify Text Using Deep Learning (GeoAI)** Tool, we need to supply `InferenceFunction`, `ModelType` and `OutputField`. \n",
     "\n",
     "1. `InferenceFunction`: Name of the module that contains the definition of NLP function\n",
-    "2. `ModelType`: Defines the type of task. For **Classify Text Using Deep Learning (GeoAI)** Tool it will be `TextClassifier`\n",
-    "3. `OutputField`: Name of the field in which contains the output\n",
+    "2. `ModelType`: Defines the type of task. For the **Classify Text Using Deep Learning (GeoAI)** Tool, it will be  `TextClassifier`\n",
+    "3. `OutputField`: Name of the field that contains the output\n",
     "\n",
-    "Other keys are prerogative of the Model extension author. In this case, we took liberty to state the prompt `few-shot prompting` related information - `examples` and `prompt`. We will utilize this information to construct a clear and effective prompt for the task."
+    "Other keys are the prerogative of the Model extension author. In this case, we stated the `few-shot prompting` related information - `examples` and `prompt`. We will utilize this information to construct a clear and effective prompt for the task."
    ]
   },
   {
@@ -438,7 +438,7 @@
    "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."
    ]
   },
   {