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Название: LangChain for jаvascript developers: How to integrate LLMs into jаvascript web apps
Автор: Daniel Nastase
Издательство: Leanpub
Год: 2024-07-28
Страниц: 120
Язык: английский
Формат: pdf (true) epub
Размер: 10.1 MB
LangChain for jаvascript developers - how to integrate LLMs into jаvascript apps by building 5 real examples using LangChain, Next.js and React. LangChain for jаvascript developers is a practical beginner’s workshop for integrating LLMs into JS applications. The AI Engineer, responsible for integrating AI features into traditional software applications, will be one of the most in-demand roles in the coming years. In fact, there is a high chance that AI Engineers will outnumber ML Engineers in the near future. LangChain is a perfect gateway to starting your AI Engineering journey. LangChain is a framework designed to simplify the creation of applications that integrate Large Language Models (LLMs). LangChain provides all the AI integration building blocks in one framework. It offers a modular, flexible, and scalable architecture that is easy to maintain. In this short course, we take a fun, hands-on, and pragmatic approach to learning how to build LLM-powered apps using LangChain. We will build the following five examples using LangChain, Next.js, and React: - The Story Maker; - Tea Wikipedia app; - Geography Trivia game; - Documents Researcher app; - AI Agent chatbot. The examples are using Next.js and React. You don't need to be an expert but you will need a very basic understanding of how React works.
Автор: Daniel Nastase
Издательство: Leanpub
Год: 2024-07-28
Страниц: 120
Язык: английский
Формат: pdf (true) epub
Размер: 10.1 MB
LangChain for jаvascript developers - how to integrate LLMs into jаvascript apps by building 5 real examples using LangChain, Next.js and React. LangChain for jаvascript developers is a practical beginner’s workshop for integrating LLMs into JS applications. The AI Engineer, responsible for integrating AI features into traditional software applications, will be one of the most in-demand roles in the coming years. In fact, there is a high chance that AI Engineers will outnumber ML Engineers in the near future. LangChain is a perfect gateway to starting your AI Engineering journey. LangChain is a framework designed to simplify the creation of applications that integrate Large Language Models (LLMs). LangChain provides all the AI integration building blocks in one framework. It offers a modular, flexible, and scalable architecture that is easy to maintain. In this short course, we take a fun, hands-on, and pragmatic approach to learning how to build LLM-powered apps using LangChain. We will build the following five examples using LangChain, Next.js, and React: - The Story Maker; - Tea Wikipedia app; - Geography Trivia game; - Documents Researcher app; - AI Agent chatbot. The examples are using Next.js and React. You don't need to be an expert but you will need a very basic understanding of how React works.