update UX section, add more references

.vscode/ltex.dictionary.en-US.txt

@@ -0,0 +1 @@
+LLMs

7-building-chat-applications/README.md

@@ -73,6 +73,16 @@ General UX principles apply to chat applications, but here's some additional con
 
 One such example of personalization is the "Custom instructions" settings in OpenAI's ChatGPT ![IMAGE]()
 
+#### Microsoft's System Message Framework for Large Language Models
+
+[Microsoft has provided guidance](https://learn.microsoft.com/azure/ai-services/openai/concepts/system-message#define-the-models-output-format) for writing effective system messages when generating responses from LLMs broken down into 4 areas:
+
+1. Defining who the model is for, as well as its capabilities and limitations.
+2. Defining the model's output format.
+3. Providing specific examples that demonstrate intended behavior of the model.
+4. Providing additional behavioral guardrails.
+
+
 ### Accessibility
 
  Whether a user has visual, auditory, motor, or cognitive impairments, a well-designed chat application should be usable by all. The following list breaks down specific features aimed at enhancing accessibility for various user impairments.
@@ -91,7 +101,7 @@ Fine-tuning is often considered when a pre-trained model falls short in a specia
 
 ## Considerations for a High Quality AI-Driven Chat Experience
 
-Below are some considerations for 
+This section outlines the criteria for "high-quality" chat applications, which include the capture of actionable metrics and adherence to a framework that responsibly leverages AI technology.
 
 ### Key Metrics 
 
@@ -128,8 +138,13 @@ Microsoft's approach to Responsible AI has identified six principles that should
 
 
 
-References
+## References
+
+
+- [System message framework and template recommendations for Large Language Models (LLMs)](https://learn.microsoft.com/azure/ai-services/openai/concepts/system-message)
+
+- [Learn how to work with the GPT-35-Turbo and GPT-4 models](https://learn.microsoft.com/azure/ai-services/openai/how-to/chatgpt?pivots=programming-language-chat-completions)
 
-[Fine-Tuning language models from human preferences](https://arxiv.org/pdf/1909.08593.pdf) 
+- [Fine-Tuning language models from human preferences](https://arxiv.org/pdf/1909.08593.pdf) 
 
-[OpenAI Fine Tuning](https://platform.openai.com/docs/guides/fine-tuning/when-to-use-fine-tuning)
+- [OpenAI Fine-Tuning](https://platform.openai.com/docs/guides/fine-tuning/when-to-use-fine-tuning)

7-building-chat-applications/notebook.ipynb

@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 7: Building Chat Applications"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -8,16 +15,11 @@
    "source": [
     "import os\n",
     "import openai\n",
-    "\n",
     "openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
     "\n",
+    "\n",
     "chat_completion = openai.ChatCompletion.create(model=\"gpt-3.5-turbo\", messages=[{\"role\": \"user\", \"content\": \"Suggest two titles for a instructional lesson on chat applications for generative AI.\"}])"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {