Update Functions notebook

Author: abetlen

examples/notebooks/Functions.ipynb

@@ -4,7 +4,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Function Calling with OpenAI Python Client"
+    "# Functions\n",
+    "\n",
+    "The OpenAI compatbile web server in `llama-cpp-python` supports function calling.\n",
+    "\n",
+    "Function calling allows API clients to specify a schema that gives the model a format it should respond in.\n",
+    "Function calling in `llama-cpp-python` works by combining models pretrained for function calling such as [`functionary`](https://huggingface.co/abetlen/functionary-7b-v1-GGUF) with constrained sampling to produce a response that is compatible with the schema.\n",
+    "\n",
+    "Note however that this improves but does not guarantee that the response will be compatible with the schema.\n",
+    "\n",
+    "## Requirements\n",
+    "\n",
+    "Before we begin you will need the following:\n",
+    "\n",
+    "- A running `llama-cpp-python` server with a function calling compatible model. [See here](https://llama-cpp-python.readthedocs.io/en/latest/server/#function-calling)\n",
+    "- The OpenAI Python Client `pip install openai`\n",
+    "- (Optional) The Instructor Python Library `pip install instructor`\n",
+    "\n",
+    "## Function Calling with OpenAI Python Client\n",
+    "\n",
+    "We'll start with a basic demo that only uses the OpenAI Python Client."
    ]
   },
   {
@@ -27,7 +46,7 @@
     "\n",
     "client = openai.OpenAI(\n",
     "    api_key = \"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\", # can be anything\n",
-    "    base_url = \"http://100.64.159.73:8000/v1\"\n",
+    "    base_url = \"http://100.64.159.73:8000/v1\" # NOTE: Replace with IP address and port of your llama-cpp-python server\n",
     ")\n",
     "\n",
     "# Example dummy function hard coded to return the same weather\n",
@@ -113,13 +132,19 @@
    "source": [
     "# Function Calling with Instructor\n",
     "\n",
-    "You'll need to install the [`instructor`](https://github.com/jxnl/instructor/) package to run this notebook. You can do so by running the following command in your terminal:\n",
+    "The above example is a bit verbose and requires you to manually verify the schema.\n",
+    "\n",
+    "For our next examples we'll use the `instructor` library to simplify the process and accomplish a number of different tasks with function calling.\n",
+    "\n",
+    "You'll first need to install the [`instructor`](https://github.com/jxnl/instructor/).\n",
+    "\n",
+    "You can do so by running the following command in your terminal:\n",
     "\n",
     "```bash\n",
     "pip install instructor\n",
     "```\n",
     "\n",
-    "We'll highlight a few basic examples taken from the [instructor cookbook](https://jxnl.github.io/instructor/)\n",
+    "Below we'll go through a few basic examples taken directly from the [instructor cookbook](https://jxnl.github.io/instructor/)\n",
     "\n",
     "## Basic Usage"
    ]