RRepoGEO

REPOGEO REPORT · LITE

bbruceyuan/Hands-On-Large-Language-Models-CN

Default branch master · commit a1f3ed68 · scanned 5/26/2026, 3:07:43 PM

GitHub: 2,583 stars · 276 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 bbruceyuan/Hands-On-Large-Language-Models-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
  • highreadme#1
    Reposition the README H1 to emphasize Chinese tutorial content

    Why:

    CURRENT
    # Hands-On Large Language Models CN(ZH) -- 动手学大模型
    COPY-PASTE FIX
    # Hands-On Large Language Models CN(ZH) -- 动手学大模型 (中文版教程，含视频与代码)
  • hightopics#2
    Add specific topics for Chinese tutorials and video content

    Why:

    CURRENT
    hands-on-llm, hands-on-transformers, hans-on-llms, llms
    COPY-PASTE FIX
    hands-on-llm, hands-on-transformers, hans-on-llms, llms, chinese-llm-tutorial, llm-course-cn, ai-education-cn, llm-video-tutorial, large-language-models-chinese
  • mediumabout#3
    Refine the repository description for clarity on content and audience

    Why:

    CURRENT
    中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
    COPY-PASTE FIX
    Hands-On-Large-Language-Models 的中文翻译版，提供动手实践大模型教程、代码示例和配套中文视频讲解，专为国内开发者优化。

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 bbruceyuan/Hands-On-Large-Language-Models-CN
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face · recommended 1×
  2. PaddlePaddle · recommended 1×
  3. Datawhale · recommended 1×
  4. Zhihu · recommended 1×
  5. Bilibili · recommended 1×
  • CATEGORY QUERY
    Where can I find practical, hands-on large language model tutorials optimized for Chinese users?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. PaddlePaddle
    3. Datawhale
    4. Zhihu
    5. Bilibili
    6. GitHub

    AI recommended 6 alternatives but never named bbruceyuan/Hands-On-Large-Language-Models-CN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for comprehensive code examples and video guides to learn large language model development.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Generative AI with Large Language Models" Specialization
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. PyTorch (pytorch/pytorch)
    4. TensorFlow (tensorflow/tensorflow)
    5. LangChain (langchain-ai/langchain)
    6. OpenAI API
    7. fast.ai's "Practical Deep Learning for Coders"
    8. fastai library (fastai/fastai)
    9. Google Cloud's Generative AI Learning Path
    10. Vertex AI

    AI recommended 10 alternatives but never named bbruceyuan/Hands-On-Large-Language-Models-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
    pass

  • 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 bbruceyuan/Hands-On-Large-Language-Models-CN?
    pass
    AI did not name bbruceyuan/Hands-On-Large-Language-Models-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 bbruceyuan/Hands-On-Large-Language-Models-CN in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bbruceyuan/Hands-On-Large-Language-Models-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 bbruceyuan/Hands-On-Large-Language-Models-CN solve, and who is the primary audience?
    pass
    AI did not name bbruceyuan/Hands-On-Large-Language-Models-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

Drop this badge into the README of bbruceyuan/Hands-On-Large-Language-Models-CN. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/bbruceyuan/Hands-On-Large-Language-Models-CN.svg)](https://repogeo.com/en/r/bbruceyuan/Hands-On-Large-Language-Models-CN)
HTML
<a href="https://repogeo.com/en/r/bbruceyuan/Hands-On-Large-Language-Models-CN"><img src="https://repogeo.com/badge/bbruceyuan/Hands-On-Large-Language-Models-CN.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

bbruceyuan/Hands-On-Large-Language-Models-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