Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

2024  Edition – Get to grips with the LangChain framework to develop  production-ready applications, including agents and personal assistants.  The 2024 edition features updated code examples and an improved GitHub  repository.

Key Features

• Learn how to leverage LangChain to work around LLMs’ inherent weaknesses
• Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges
• Get  better at using ChatGPT and GPT models, from heuristics and training to  scalable deployment, empowering you to transform ideas into reality

Book Description

ChatGPT  and the GPT models by OpenAI have brought about a revolution not only  in how we write and research but also in how we can process information.  This book discusses the functioning, capabilities, and limitations of  LLMs underlying chat systems, including ChatGPT and Gemini. It  demonstrates, in a series of practical examples, how to use the  LangChain framework to build production-ready and responsive LLM  applications for tasks ranging from customer support to software  development assistance and data analysis – illustrating the expansive  utility of LLMs in real-world applications.

Unlock  the full potential of LLMs within your projects as you navigate through  guidance on fine-tuning, prompt engineering, and best practices for  deployment and monitoring in production environments. Whether you're  building creative writing tools, developing sophisticated chatbots, or  crafting cutting-edge software development aids, this book will be your  roadmap to mastering the transformative power of generative AI with  confidence and creativity.

What you will learn

• Create LLM apps with LangChain, like question-answering systems and chatbots
• Understand transformer models and attention mechanisms
• Automate data analysis and visualization using pandas and Python
• Grasp prompt engineering to improve performance
• Fine-tune LLMs and get to know the tools to unleash their power
• Deploy LLMs as a service with LangChain and apply evaluation strategies
• Privately interact with documents using open-source LLMs to prevent data leaks

Who this book is for

The  book is for developers, researchers, and anyone interested in learning  more about LangChain. Whether you are a beginner or an experienced  developer, this book will serve as a valuable resource if you want to  get the most out of LLMs using LangChain.

Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.

Table of Contents

1. What Is Generative AI?
2. LangChain for LLM Apps
3. Getting Started with LangChain
4. Building Capable Assistants
5. Building a Chatbot like ChatGPT
6. Developing Software with Generative AI
7. LLMs for Data Science
8. Customizing LLMs and Their Output
9. Generative AI in Production
10. The Future of Generative Models