ConnectAI-E/LangChain-Tutior

⛓ LangChain 入门指南,配套吴恩达老师deeplearning.ai课程 😎复现语言:Python、NodeJs、Golang

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This project provides practical code examples and guides for building applications with large language models using LangChain. It takes the concepts from Andrew Ng's deeplearning.ai course on LangChain and translates them into runnable code. Developers who want to integrate AI capabilities into their software using Python, Node.js, or Go can use this to learn how to structure and implement such applications.

177 stars. No commits in the last 6 months.

Use this if you are a software developer looking for hands-on examples to implement AI applications with LangChain in Python, Node.js, or Go, based on a structured educational course.

Not ideal if you are not a programmer and are looking for a no-code solution or a high-level conceptual overview without diving into code.

AI application development Large Language Models (LLM) AI integration software engineering AI programming
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

177

Forks

25

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 03, 2024

Commits (30d)

0

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