This book is written by the members of Solution Architect team that I used to belong to. They are always sharing various information, so I recommend you to check out their blogs, slides materials, SNS etc. 😀
This book covers various technologies for building LLM systems for enterprise companies using Azure OpenAI Service. The title says "Introduction", but it is worth trying for anyone who has basic knowledge of Azure.
This book explains in detail about Retrieval-Augmented Generation (RAG). You can try to use Japanese sample code in hands-on format. It is the Japanese version of https://lnkd.in/gAjqWDaE that my customers also use. In addition, the search accuracy of the search engine is important for the implementation of RAG. The good news is that the evaluation indicators of the search accuracy and the generation accuracy by LLM are also explained very clearly with figures easy to understand.
Not only RAG, but also prompt engineering (Chapter 2), front-end (Chapter 8), governance and Responsible AI for enterprise use (Chapters 9 and 10) are concisely summarized.
I don’t think LLM systems are build alone... but you still need a wide range of knowledge. This book is designed to help you acquire the basic skills you need for LLM system development, so it is a good preparatory book for those who are going to work on LLM system development on Azure.
*It is a very fast-changing era. I recommend you to read this book as soon as you get it, without leaving it unread - "Tsundoku"😎
Introduction to ChatGPT/LLM System Development with Azure OpenAI Service
amazon: https://lnkd.in/gisHfCf7
This book is written by the members of Solution Architect team that I used to belong to. They are always sharing various information, so I recommend you to check out their blogs, slides materials, SNS etc. 😀
This book covers various technologies for building LLM systems for enterprise companies using Azure OpenAI Service. The title says "Introduction", but it is worth trying for anyone who has basic knowledge of Azure.
This book explains in detail about Retrieval-Augmented Generation (RAG). You can try to use Japanese sample code in hands-on format. It is the Japanese version of https://lnkd.in/gAjqWDaE that my customers also use. In addition, the search accuracy of the search engine is important for the implementation of RAG. The good news is that the evaluation indicators of the search accuracy and the generation accuracy by LLM are also explained very clearly with figures easy to understand.
Not only RAG, but also prompt engineering (Chapter 2), front-end (Chapter 8), governance and Responsible AI for enterprise use (Chapters 9 and 10) are concisely summarized.
I don’t think LLM systems are build alone... but you still need a wide range of knowledge. This book is designed to help you acquire the basic skills you need for LLM system development, so it is a good preparatory book for those who are going to work on LLM system development on Azure.
*It is a very fast-changing era. I recommend you to read this book as soon as you get it, without leaving it unread - "Tsundoku"😎