llm books

Welcome to star?, continue to pay attention to "LLM Application Development Practice Notes"

My new book "LangChain Programming From Beginner to Practice" is on sale! Recommended friends who are learning AI application development to purchase and read!

‼ ️ ‼ ️ Important updates

1. Added 3 new chapters: LLM application evaluation and testing , RAG topics , and interpretation of the API of domestic model manufacturers
2. Open Communication Group Recently, many friends came to join me on WeChat from the website and asked if they could create an LLM application development communication group. It is now open, and friends in need can choose to join

Local reading

Build a gitbook image (optional)

After downloading this repository, execute docker build . -t <image:tag> to build a custom image, or you can directly use the image I built morso1/gitbook-server:3.2.3

Start gitbook service

 cd llm-book

docker run --rm -v " $PWD /LLMProjects:/gitbook " -p 4000:4000 morso1/gitbook-server:3.2.3 gitbook serve

Open port 4000 locally to start reading

Table of Contents Outline

• Preface
• Overview of the big language model
  • Overview of the big language model
  • Hello, ChatGPT
  • OpenAI Document Interpretation
  • Hands-on chatbot
  • Building an end-to-end question-and-answer system based on OpenAI API
  • LLM Security Topic
• Getting started with LangChain
  • Introduction to LangChain
  • LangChain module learning
  • LangChain's Chains module
  • LangChain's Agents module
  • LangChain's Callback Module
  • Embedding Embedding
  • Hands-on document Q&A robot
• LlamaIndex Overview
  • Introduction to LlamaIndex
  • LlamaIndex Index
  • Realize the enterprise knowledge base hands-on
• HuggingGPT Implementation
  • Introduction to HuggingFace
  • transformers library basic components
  • Multimodal task design
  • Hands-on HuggingGPT
• LLMOps Special Topic
  • LLMOps Introduction
  • Model Model Layer
  • Prompt prompt layer
  • Narrow LLMOps
• Agent Topics
  • Agent Introduction
  • Agent Project Tracking
  • Multi-Agent Framework
• RAG topic
  • Data indexing link
  • Search link
  • Generation link
• LLM Application Evaluation and Testing
  • How to evaluate a large language model
  • Test evaluation based on big model Agent
  • RAG system effectiveness evaluation
• Interpretation of the API of domestic model manufacturers
  • Comparison of six big models
  • MiniMax big model development
  • Zhipu AI big model development
  • MoonShot big model development

• Generative AI based on large language models
  • Course Introduction

• References
  • A16Z recommended AI learning list
  • Prompt topic
  • Some course materials summary