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Learning LangChain (Early Release)
Название: Learning LangChain: Build an AI Chatbot Trained on Your Data (Early Release)
Автор: Mayo Oshin, Nuno Campos
Издательство: O’Reilly Media, Inc.
Год: 2024-06-18
Страниц: 127
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

If you're looking to build a production-ready AI application that enables users to "chat" with your company's private data, then you'll need to master LangChain—a premier AI development framework used by global corporations and startups like Zapier, Replit, Databricks, and more. This guide is an indispensable resource for developers who understand Python or jаvascript but are beginners eager to harness the power of AI.

Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book will show you step-by-step how to build a production-ready AI chatbot trained on your own data.

Building LLM applications with or without LangChain requires the use of an LLM (read on for explanations for all these concepts). In this book we’ll be making use of the OpenAI API as the LLM provider we use in the code examples. One of the benefits of working with LangChain is you can follow all along all of these examples using either OpenAI or alternative commercial or open source LLM providers. We’ll call this out throughout the book.

Three months later, OpenAI released the ChatGPT API, giving developers access to the chat and speech-to-text capabilities. This kickstarted an uncountable number of new applications and technical developments under the loose umbrella term of generative AI.

After reading this book, you'll be equipped to:

Understand and use the core components of LangChain in your development projects
Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external, up-to-date data
Develop and deploy AI chatbots that interact intelligently and contextually with users
Utilize LangChain Expression Language to create custom, efficient AI operational chains
Integrate and manage third-party APIs and tools to extend the functionality of your AI applications
Learn the foundations of LLM app development and how they can be used with LangChain

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