llm-universe
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
A Chinese-language beginner tutorial series from Datawhale that teaches you to build AI applications with large language models, culminating in a hands-on document question-answering chatbot project.
LLM Universe is a Chinese-language tutorial series from Datawhale, a Chinese open-source AI learning community, aimed at beginners who want to learn how to build applications using large language models. The project is written primarily in Chinese and targets developers who know basic Python but have no background in machine learning or AI theory.
The course is structured in three parts. The first part covers the fundamentals: what large language models are, what RAG means (a technique for giving an AI model access to your own documents so it can answer questions about them), and how to call the APIs provided by various AI services. The second part covers more advanced RAG techniques, including how to process different types of documents, optimize search results, and fine-tune the retrieval pipeline. The third part analyzes real open-source AI application projects to show what kinds of things can actually be built.
The hands-on project used throughout the course is a personal knowledge base assistant: an AI chatbot that can answer questions by searching through a collection of documents you provide. This gives learners a concrete, practical goal to work toward rather than just reading theory.
The course supports multiple AI providers, including ChatGPT and several Chinese-market models such as Baidu Wenxin, iFlytek Spark, and Zhipu GLM. The unified wrapper code means you can switch between providers without rewriting your application logic.
No GPU or specialized hardware is needed. The course can be completed on a personal laptop or on a free cloud server. All materials are available as Jupyter notebooks and as a readable website, and a PDF download of the first completed section is also provided.
Where it fits
- Build a chatbot that answers questions from your own documents using the RAG technique covered in the course.
- Learn to call ChatGPT and Chinese AI APIs like Baidu Wenxin or Zhipu GLM from Python code.
- Follow a structured zero-to-app course to build a working LLM application without needing machine learning theory.