changyeyu/LLM-RL-Visualized resource

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4819 stars · 463 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of 100+ original SVG architecture diagrams explaining LLM, VLM, and reinforcement learning algorithms (RLHF, PPO, GRPO, DPO, SFT, LoRA, RAG, CoT), companion to the book 'Large Model Algorithms: Reinforcement Learning, Fine-Tuning and Alignment'. It is a visual learning reference rather than runnable software, with a small amount of Python tooling.

Use cases

• understand how transformer-based LLMs work visually
• learn RLHF and DPO training pipelines
• study LoRA and SFT fine-tuning techniques
• prepare for LLM algorithm interviews
• grasp reinforcement learning fundamentals like PPO and GRPO
• learn RAG and decoding strategies like beam search and top-p sampling

When to choose

• you want visual, diagram-based explanations of LLM and RL algorithms
• you are studying for AI algorithm interviews or reading the companion book
• you need high-quality SVG diagrams for teaching or presentations

When to avoid

• you need runnable training code or production libraries
• you want executable notebooks with hands-on experiments
• you need English-only materials without reading Chinese content

Facets

learning-resource · maturity active

machine-learning deep-learning llm-training rag prompt-engineering data-visualization large-language-models machine-learning reinforcement-learning tutorials education cross-platform diagrams rlhf dpo sft lora vlm architecture-diagrams svg chinese book-companion natural-language-processing

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