Update descriptions

examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb

@@ -5,10 +5,11 @@
    "source": [
     "# How to use GPT-4 Vision with Function Calling \n",
     "\n",
-    "The new GPT-4 Turbo model, available as `gpt-4-turbo-2024-04-09` as of April 2024, now enables function calling with images unlike the previous model `gpt-4-vision-preview`. Using images with function calling will unlock multimodal use cases and the ability to use reasoning, allowing you to go beyond OCR and image descriptions.\n",
+    "The new GPT-4 Turbo model, available as gpt-4-turbo-2024-04-09 as of April 2024, now enables function calling with vision capabilities, better reasoning and a knowledge cutoff date of Dec 2023. Using images with function calling will unlock multimodal use cases and the ability to use reasoning, allowing you to go beyond OCR and image descriptions.\n",
     "\n",
     "We will go through two examples to demonstrate the use of function calling with GPT-4 Turbo with Vision:\n",
-    "1. Simulating a customer service assistant for delivery exception support based on package images and predefined actions\n",
+    "\n",
+    "1. Simulating a customer service assistant for delivery exception support\n",
     "2. Analyzing an organizational chart to extract employee information"
    ],
    "metadata": {
@@ -77,7 +78,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "## 1. Simulating a Customer Service Assistant for Delivery Exception Support\n",
+    "## 1. Simulating a customer service assistant for delivery exception support\n",
     "We will simulate a customer service assistant for a delivery service that is equipped to analyze images of packages. The assistant will perform the following actions based on the image analysis:\n",
     "- If a package appears damaged in the image, automatically process a refund according to policy.\n",
     "- If the package looks wet, initiate a replacement.\n",
@@ -362,7 +363,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "## 2.  Analyzing an Organizational Chart with GPT-4 Vision\n",
+    "## 2.  Analyzing an organizational chart to extract employee information\n",
     "\n",
     "For the second example, we will analyze an organizational chart image to extract employee information, such as employee names, roles, managers, and manager roles. We will use GPT-4 Turbo with Vision to process the organizational chart image and extract structured data about the employees in the organization. Indeed, function calling lets us go beyond OCR to actually deduce and translate hierarchical relationships within the chart.\n",
     "\n",