RRepoGEO

REPOGEO REPORT · LITE

skindhu/Build-A-Large-Language-Model-CN

Default branch main · commit 592cc35a · scanned 5/18/2026, 8:13:18 PM

GitHub: 3,673 stars · 627 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 skindhu/Build-A-Large-Language-Model-CN, 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.

OVERALL DIRECTION
  • hightopics#1
    Add descriptive topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    large-language-models, llm, gpt, deep-learning, machine-learning, ai, education, chinese-translation, from-scratch, ebook, tutorial, book
  • highhomepage#2
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/skindhu/Build-A-Large-Language-Model-CN/blob/main/cn-Book/README.md
  • mediumreadme#3
    Add a clear license statement to the README

    Why:

    CURRENT
    (No explicit license statement in README excerpt)
    COPY-PASTE FIX
    ## 许可协议

本项目是《Build a Large Language Model (From Scratch)》的中文翻译版。原版书籍的许可协议请参考其官方说明。本中文翻译部分的具体许可协议请查阅仓库根目录下的 [LICENSE](LICENSE) 文件，其中详细说明了本翻译作品的使用和分发条款。

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.

Recall
0 / 2
0% of queries surface skindhu/Build-A-Large-Language-Model-CN
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 1×
  2. TensorFlow · recommended 1×
  3. Keras · recommended 1×
  4. NumPy · recommended 1×
  5. Jupyter Notebooks · recommended 1×
  • CATEGORY QUERY
    How can I learn to implement large language models from first principles?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. NumPy
    5. Jupyter Notebooks
    6. Google Colab
    7. Hugging Face Transformers Library
    8. Matplotlib
    9. Seaborn
    10. scikit-learn
    11. Weights & Biases
    12. TensorBoard

    AI recommended 12 alternatives but never named skindhu/Build-A-Large-Language-Model-CN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking detailed Chinese tutorials for understanding and building generative AI models.
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. YouTube
    3. 动手学深度学习 (Dive into Deep Learning)
    4. Bilibili
    5. Zhihu
    6. Datawhale 开源学习社区
    7. 机器之心 (Synced Review)
    8. AI科技评论 (AI Technology Review)

    AI recommended 8 alternatives but never named skindhu/Build-A-Large-Language-Model-CN. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 skindhu/Build-A-Large-Language-Model-CN?
    pass
    AI did not name skindhu/Build-A-Large-Language-Model-CN — 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 skindhu/Build-A-Large-Language-Model-CN in production, what risks or prerequisites should they evaluate first?
    pass
    AI named skindhu/Build-A-Large-Language-Model-CN 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 skindhu/Build-A-Large-Language-Model-CN solve, and who is the primary audience?
    pass
    AI did not name skindhu/Build-A-Large-Language-Model-CN — 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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skindhu/Build-A-Large-Language-Model-CN — 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