datawhalechina/diy-llm

🎓 系统性大语言模型构建课程｜🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)｜🚀 6 个渐进式作业 + 代码驱动，建立 LLM 全栈认知体系

GitHub repository with 1,064 stars and 111 forks.

Language: Jupyter Notebook

Topics: gpu-programming, llm, nlp, rl, sft, transformer, triton

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Trending score 3.27, freshness score 1.00, stars gained +85, forks gained +6.

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2026-07-22: 1,064 stars and 111 forks.

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