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Category: llm-tooling · Language: Jupyter Notebook · clear

datawhalechina / diy-llm

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识

▲ ~306/7d ★ 1.7k Jupyter Notebook 14d ago
onestardao / WFGY

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

▲ ~2/7d ★ 1.8k Jupyter Notebook 🔥 today