REPOGEO REPORT · LITE
LLMBook-zh/LLMBook-zh.github.io
Default branch main · commit 7be1a805 · scanned 6/30/2026, 8:58:02 AM
GitHub: 4,513 stars · 339 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 LLMBook-zh/LLMBook-zh.github.io, 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.
- highabout#1Update the repository description to clearly state it's a comprehensive LLM book.
Why:
CURRENT《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
COPY-PASTE FIX《大语言模型》:一本全面深入讲解大语言模型技术体系的中文参考书,由赵鑫、李军毅、周昆、唐天一、文继荣合著,面向具有深度学习基础的读者。
- highlicense#2Add a LICENSE file to the repository.
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root. For book content, consider a Creative Commons license (e.g., CC BY-NC-SA 4.0) or clearly state the specific licensing terms for the book's content within the README.
- mediumtopics#3Add topics that emphasize the repository's nature as a book or educational resource.
Why:
CURRENTartificial-intelligence, deep-learning, deep-neural-networks, deep-reinforcement-learning, fine-tuning, language-model, large-language-models, natural-language-processing, nlp, pretrained-models
COPY-PASTE FIXartificial-intelligence, deep-learning, large-language-models, nlp, llm-book, educational-resource, machine-learning-book, chinese-llm-book, reference-book, deep-learning-book, llm-tutorial
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.
- OpenAI GPT-series · recommended 1×
- Google Gemini · recommended 1×
- Anthropic Claude · recommended 1×
- Meta Llama · recommended 1×
- Mistral AI · recommended 1×
- CATEGORY QUERYNeed a systematic overview of large language model technology and frameworks.you: not recommendedAI recommended (in order):
- OpenAI GPT-series
- Google Gemini
- Anthropic Claude
- Meta Llama
- Mistral AI
- LangChain
- LlamaIndex
- Hugging Face Transformers
- Haystack
- OpenAI Python Library / SDK
- Pinecone
- Weaviate
- Chroma
- Qdrant
- Milvus
- LangSmith
- Arize AI
- Weights & Biases
- DeepEval
AI recommended 19 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking comprehensive reference material for deep learning practitioners on large language models.you: not recommendedAI recommended (in order):
- Natural Language Processing with Transformers
- Deep Learning
- Speech and Language Processing
- Attention Is All You Need
- Hugging Face Transformers Documentation (huggingface/transformers)
AI recommended 5 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 LLMBook-zh/LLMBook-zh.github.io?passAI did not name LLMBook-zh/LLMBook-zh.github.io — 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 LLMBook-zh/LLMBook-zh.github.io in production, what risks or prerequisites should they evaluate first?passAI named LLMBook-zh/LLMBook-zh.github.io 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 LLMBook-zh/LLMBook-zh.github.io solve, and who is the primary audience?passAI did not name LLMBook-zh/LLMBook-zh.github.io — 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
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LLMBook-zh/LLMBook-zh.github.io — 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