llm-cookbook provides translated, reproduced, and localized Chinese versions of 11 of Andrew Ng's LLM courses, complete with adapted Chinese prompts. It is designed to help Chinese developers learn and get started with large language model development.
Project overview
It directly addresses a language and access barrier by offering tested Chinese prompts that achieve roughly equivalent performance to the original English versions, making structured LLM education from Prompt Engineering to RAG and fine-tuning accessible to Chinese-speaking developers.
Project type
AI Coding · Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
License pending
Best for
Chinese-speaking developers and educators seeking a structured, localized curriculum to learn and teach LLM development with adapted Chinese prompts.
Key capabilities
Filters, translates, reproduces, and tunes 11 of Andrew Ng's LLM courses for Chinese developers, covering Prompt Engineering to RAG development and fine-tuning.
Implements and tests Chinese prompts that achieve roughly equivalent performance to the original English prompts to help learners study LLM usage in a Chinese context.
Organizes courses into required and elective categories, guiding beginners through foundational skills before exploring specific interests like RAG and model evaluation.
Getting started
Setup is rated easy: it requires only basic Python ability and an LLM API to use the provided Jupyter Notebooks. The first step toward a successful run is obtaining an LLM API key.