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Price: $37.99
(as of Apr 24, 2024 22:31:01 UTC – Details)


Get to grips with the LangChain framework from theory to deployment and develop production-ready applications.

Code examples regularly updated on GitHub to keep you abreast of the latest LangChain developments.

Purchase of the print or Kindle book includes a free PDF eBook.

Key FeaturesLearn how to leverage LLMs’ capabilities and work around their inherent weaknessesDelve into the realm of LLMs with LangChain and go on 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 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 Bard. It also 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 learnUnderstand LLMs, their strengths and limitationsGrasp generative AI fundamentals and industry trendsCreate LLM apps with LangChain like question-answering systems and chatbotsUnderstand transformer models and attention mechanismsAutomate data analysis and visualization using pandas and PythonGrasp prompt engineering to improve performanceFine-tune LLMs and get to know the tools to unleash their powerDeploy LLMs as a service with LangChain and apply evaluation strategiesPrivately interact with documents using open-source LLMs to prevent data leaksWho 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 ContentsWhat Is Generative AI?LangChain for LLM AppsGetting Started with LangChainBuilding Capable AssistantsBuilding a Chatbot like ChatGPTDeveloping Software with Generative AILLMs for Data ScienceCustomizing LLMs and Their OutputGenerative AI in ProductionThe Future of Generative Models

From the Publisher

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Why is now the ideal time to explore LangChain with this new book?

We’re witnessing massive innovation in the world of language models. These models wield immense power, though we are still learning how to harness it. This marks a pivotal juncture for the community to start coalescing around a common set of reusable tools that unlock the potential of LLM-powered applications to change the world. While crafting this book, I’ve thought hard about where the added value of generative AI is, how LLM apps can be used, and what kind of innovations could be defining the industry in the coming years, many of which have to do with the tools and integrations that LangChain enables.

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What key LangChain developments does this book demystify?

To make LangChain approachable yet empowering, this book explores how LangChain abstracts LLM complexities while exposing knobs for advanced customization. Going beyond the fundamentals of LangChain and simplifying LLM app development through its reusable building blocks, this book also addresses more complex concepts such as agents and chains, which help enhance applications through feedback loops, conditioning techniques, and even fine-tuning. Finally, the book discusses deployment, metrics, and techniques for production use.

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What sets this book apart from other LangChain resources?

While there are blog posts and other resources available, they are of mixed quality and perspective. These fragmented introductory resources cover LangChain fundamentals, but this book provides a unique advantage by equipping you with multifaceted mastery. It combines conceptual foundations, real-world implementations, and customization techniques for end-to-end proficiency. The blend of theory and hands-on examples bridges the gap between the basics and expert techniques. Core concepts are elucidated through intuitive explanations and applied case studies spanning diverse domains like information extraction, summarization, and chatbots. This multidimensional coverage of concepts, implementations, and customization delivers distinct value beyond what is offered by the fragmented introductory materials. With this book, you’ll gain advanced skills to deeply understand LangChain and mold it to your applications.

Publisher ‏ : ‎ Packt Publishing (December 22, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 360 pages
ISBN-10 ‏ : ‎ 1835083463
ISBN-13 ‏ : ‎ 978-1835083468
Item Weight ‏ : ‎ 1.39 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 0.75 inches

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