Get to grips with the LangChain framework from theory to deployment and develop production-ready applications. - Code examples regularly updated on Git - Hub to keep you abreast of the latest LangChain developments. - Purchase of the print or Kindle book includes a free PDF eBook.Key Features - Learn how to leverage LLMs' capabilities and work around their inherent weaknesses - Delve into the realm of LLMs with LangChain and go on an in-depth exploration of 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 DescriptionChatGPT and the GPT models by Open This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Bard. - 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 - Understand LLMs, their strengths and limitations - Grasp generative AI fundamentals and industry trends - 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 LLMs. 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 and are looking to stay ahead of the curve in the LLMs and LangChain arena. - Basic knowledge of Python is a prerequisite, while some prior exposure to machine learning will help you follow along more easily. - Table of Contents - What Is Generative AI? Lang - Chain for LLM Apps - Getting Started with LangChainBuilding Capable Assistants - Building a Chatbot like Chat - GPTDeveloping Software with Generative AILLMs for Data Science - Customizing LLMs and Their Output - Generative AI in Production - The Future of Generative Models