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Generative AI With LangChain Build Large Language Model Apps With Python ChatGPT And Other LLMs(1st Edition)
Authors:
Ben Auffarth
Cover Type:Hardcover
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ISBN: 1835083463, 978-1835083468
Book publisher: Packt Publishing
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Book Summary: Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants, integrating with web searches and code execution.Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to leverage LLMs’ capabilities and work around their inherent weaknessesDelve into the realm of LLMs with LangChain and an in-depth exploration of their fundamentals, ethical dimensions, and application challengesGet better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into realityBook DescriptionThe ChatGPT and the GPT models by OpenAI have brought about a revolution in the way we think about the world ? and not only in how we write and research, but in how we can process information.This book discusses the functioning, capabilities, and limitations of LLMs including ChatGPT and Bard. It also demonstrates how to use the LangChain framework to implement production-ready applications based on these models, such as agents and personal assistants, and integrate with other tools such as web searches and code execution.As you progress through the chapters, you’ll use transformer models and diverse attention mechanisms, refining the intricate process of training and fine-tuning. You'll get to grips with data-driven decision-making with automated analysis and visualization using pandas and Python. You’ll also take a closer look at the heuristics of how to use these models, prompting, training and fine-tuning, and deploying at scale.By the time you’ve finished this book, you’ll have a deep understanding of what makes LLMs tick and how to make the most of them.What you will learnGain an understanding of LLMs and their legal implicationsUnderstand transformer models and different attention mechanismsTrain and fine-tune LLMs and get to know the tools for using themBuild applications with LangChain like question-answering systems and chatbotsImplement automated data analysis and visualization with pandas and PythonGrasp prompt engineering to improve prompts and evaluation strategiesDeploy LLMs as a service with LangChainInteract privately with your documents without data leaks using ChatGPTWho This Book Is ForThe 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 be 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 ContentsWhat are Generative Models?LangChain: Core FundamentalsGetting started with LangChainQuestion Answering over DocsBuilding a Chatbot like ChatGPT/BardDeveloping Software with LangChain CoderLLM for Data AnalysisPrompt EngineeringLLM applications in ProductionThe Future of Generative Models
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