bbruceyuan/Hands-On-Large-Language-Models-CN

What it solves

This project provides a localized, Chinese-language adaptation of the "Hands-On Large Language Models" book. It removes barriers for Chinese-speaking developers by providing optimized code environments, detailed annotations, and video tutorials that work within domestic network constraints.

How it works

The repository organizes the original book's curriculum into a series of interactive Notebooks. It offers pre-configured environments on platforms like OpenBayes and AIStackDC, allowing users to run complex LLM code—such as fine-tuning, RAG, and multimodal model training—without needing to configure local hardware or bypass network restrictions. It also includes supplemental "bonus" content, such as custom LoRA implementations and GRPO training for Agentic RAG.

Who it’s for

This is for developers, students, and AI enthusiasts in China who want to learn the practical implementation of Large Language Models but struggle with the setup requirements or language barriers of the original English-language resources.

Highlights

• Detailed Chinese annotations and personal insights added to the original code.
• Ready-to-run Notebooks optimized for domestic cloud platforms (OpenBayes, AIStackDC).
• Comprehensive video walkthroughs available on Bilibili and YouTube.
• Bonus technical deep-dives into topics like LoRA and Agentic RAG.
• Integration with ApeRouter to provide domestic access to major LLM APIs.