Extensive Diagram Collection
Provides more than 100 original architecture diagrams covering LLM/VLM principles, reinforcement learning methods, and training algorithms including RLHF, DPO, and RAG.
SVG Vector Format
Diagrams are in SVG format, enabling infinite scaling without loss of quality and allowing text selection for detailed examination.
Detailed RL Process Visualizations
Includes visual explanations of online reinforcement learning, policy-based optimization, multi-agent value networks, and token-level reward scoring in language models.
Open-Source Accessibility
Freely accessible on GitHub, allowing researchers and developers to download and study the diagrams without cost.