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llm-cookbook

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Project Description

面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版

llm-cookbook: 面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版

Project Title

llm-cookbook — Comprehensive Chinese Guide to Large Language Models (LLM) for Developers

Overview

The llm-cookbook is a developer-centric guide to Large Language Models (LLM), offering a comprehensive introduction to LLM practices tailored for Chinese-speaking developers. It is based on Andrew Ng's series of LLM courses, translated and adapted to meet the specific needs of local learners, covering everything from Prompt Engineering to RAG development and model fine-tuning.

Key Features

  • Translation and Adaptation: Translates and adapts Andrew Ng's LLM courses into Chinese, making them accessible to a broader audience.
  • Step-by-Step Tutorials: Provides step-by-step guides from Prompt Engineering to RAG development, suitable for beginners.
  • Community Contributions: Encourages community contributions to expand and improve the course materials.

Use Cases

  • Developer Education: For developers looking to understand and implement LLM in their applications.
  • Skill Enhancement: For those wanting to enhance their skills in LLM development and application building.
  • Educational Resources: As a resource for educational institutions to teach the latest in LLM technology.

Advantages

  • Localized Content: Offers localized content that is more accessible to Chinese-speaking developers.
  • Practical Guides: Includes practical guides and tutorials that are directly applicable to real-world development scenarios.
  • Community Driven: Leverages community contributions to keep the content up-to-date and relevant.

Limitations / Considerations

  • Language Barrier: Primarily focused on Chinese-speaking audiences, which may limit its global appeal.
  • Dependency on Community: Relies on community contributions for content updates and accuracy.

Similar / Related Projects

  • Hugging Face Transformers: A library of state-of-the-art pre-trained models for NLP, differing in that it provides tools for using models rather than educational content.
  • LangChain: An open-source framework for building applications with LLMs, offering a different focus on application development rather than education.
  • Gradio: A tool for building and sharing AI applications, which complements the llm-cookbook by providing a way to deploy models learned from the course.

Basic Information


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Project Information

Created on 4/28/2023
Updated on 9/8/2025