Information science Azure OpenAI Service Practitioner Guide / Yuya Kakizaki / Yoshihiko Sugimoto

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Information Science
[Content introduction]
Condensed expertise of experts!
System implementation method of large-scale language model "GPT"
This is a practical guide to actually use "Azure OpenAI Service" (Azure OpenAI) to incorporate large-scale language model (LLM) "GPT" supporting ChatGPT into the system.
If you use Azure OpenAI, you can prevent leakage of in-house information which is a concern when companies use LLM.
Cognitive Search which is good at natural language search (Embedding)
The library for LLM "LangChain" and "Semantic Kernel"
The library for LLM "Prompt Flow"
Make use of open source LLM such as Llama 2 of Meta (Facebook)
The "Fine Tuning"
[Table of Contents
Introduction
Chapter 1 What is Azure OpenAI?
1.1 Azure OpenAI - The gateway to a magical world -
1.2 OpenAI processing flow can be easily How You Can Use Azure OpenAI
4.2 Azure OpenAI Studio
4.3 Deploying an OpenAI Model
4.4 PLAYGROUND
4.5 Deploying an Open Source Model
Chapter 5 Azure OpenAI Tools and Technologies
5.1 Overall Architecture with Azure OpenAI
5.2 Copilot Stack
5.3 Cognitive Search
5.4 Grounding/RAG
5.5 On your data
5.6 LangChain
5.7 Semantic Kernel
5.8 Function Calling
5.9 Prompt Flow
5.10 Plugin Development
5.11 Fine Tuning
5.12 Azure AI Content Safety 3.1 3.2 3.3 4.1 1.3 1.4 1.5 2.1 2.2 2.3 2.4 ChatGPT ChatGPT