Generative AI with LangChain: Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs [Book]
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PRODUCT DETAILS
Format
: Paperback
Type
: Non-fiction
Genre
: Computer
Authors
: Ben Auffarth
Features
: Packt Publishing, paperback
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 Git - Hub repository. - Purchase of the print or Kindle book includes a free PDF eBook.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 Open This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. - 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- What are Generative Models?- LangChain: Core Fundamentals- Getting started with LangChain- Question Answering over Docs- Building a Chatbot like Chat - GPT/Bard- Developing Software with LangChain Coder- LLM for Data Analysis- Prompt Engineering- LLM applications in Production- The Future of Generative Models
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