REPOGEO REPORT · LITE
changyeyu/LLM-RL-Visualized
Default branch master · commit 6d0d9f95 · scanned 5/23/2026, 3:03:16 AM
GitHub: 4,384 stars · 415 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface changyeyu/LLM-RL-Visualized, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Add a clear English positioning statement to the README
Why:
COPY-PASTE FIXThis repository offers 100+ original, high-quality visual explanations and architecture diagrams for Large Language Models (LLM) and Reinforcement Learning (RL) algorithms. It serves as a comprehensive visual guide for understanding complex AI concepts.
- mediumabout#2Enhance the English description in the 'about' section
Why:
CURRENT🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
COPY-PASTE FIX100+ original, high-quality visual explanations and architecture diagrams for Large Language Models (LLM) and Reinforcement Learning (RL) algorithms, created by the author of 'Large Model Algorithms'. This collection provides comprehensive visual guides for complex AI concepts.
- lowlicense#3Clarify the license in the README
Why:
COPY-PASTE FIX## License This repository contains original diagrams and content. Please refer to the `LICENSE` file for specific terms of use and distribution.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Towards Data Science · recommended 2×
- AI Coffee Break with Letitia · recommended 2×
- Jay Alammar's Blog · recommended 1×
- Distill.pub · recommended 1×
- Lilian Weng's Blog · recommended 1×
- CATEGORY QUERYWhere can I find visual explanations and architecture diagrams for large language models and reinforcement learning?you: not recommendedAI recommended (in order):
- Jay Alammar's Blog
- Distill.pub
- Lilian Weng's Blog
- Google AI Blog
- DeepMind Blog
- Towards Data Science
- Papers With Code
- StatQuest with Josh Starmer
- 3Blue1Brown
- AI Coffee Break with Letitia
AI recommended 10 alternatives but never named changyeyu/LLM-RL-Visualized. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat resources provide detailed diagrams for LLM training algorithms like RLHF, SFT, and DPO?you: not recommendedAI recommended (in order):
- Hugging Face
- Hugging Face Transformers Documentation
- OpenAI
- Towards Data Science
- Medium
- Weights & Biases
- Alignment Handbook
- DeepLearning.AI
- YouTube
- AI Coffee Break with Letitia
- The AI Epiphany
AI recommended 11 alternatives but never named changyeyu/LLM-RL-Visualized. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of changyeyu/LLM-RL-Visualized?passAI did not name changyeyu/LLM-RL-Visualized — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts changyeyu/LLM-RL-Visualized in production, what risks or prerequisites should they evaluate first?passAI named changyeyu/LLM-RL-Visualized explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo changyeyu/LLM-RL-Visualized solve, and who is the primary audience?passAI did not name changyeyu/LLM-RL-Visualized — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of changyeyu/LLM-RL-Visualized. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/changyeyu/LLM-RL-Visualized)<a href="https://repogeo.com/en/r/changyeyu/LLM-RL-Visualized"><img src="https://repogeo.com/badge/changyeyu/LLM-RL-Visualized.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
changyeyu/LLM-RL-Visualized — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite