RRepoGEO

REPOGEO REPORT · LITE

openai/following-instructions-human-feedback

Default branch main · commit 5c0534c7 · scanned 5/11/2026, 5:37:36 PM

GitHub: 1,257 stars · 148 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 openai/following-instructions-human-feedback, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Official implementation and resources for InstructGPT, demonstrating Reinforcement Learning from Human Feedback (RLHF) to align language models with user instructions.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, specifying the intended open-source license (e.g., MIT, Apache-2.0, or a custom license if applicable).

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 openai/following-instructions-human-feedback
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. GPT-3.5 Turbo / GPT-4 · recommended 1×
  3. Llama 2 · recommended 1×
  4. Mistral 7B Instruct · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I make my language model better at following specific user instructions?
    you: not recommended
    AI recommended (in order):
    1. GPT-3.5 Turbo / GPT-4
    2. Llama 2
    3. Hugging Face Transformers
    4. Mistral 7B Instruct
    5. OpenAI API
    6. Hugging Face TRL
    7. LangChain
    8. Guidance

    AI recommended 8 alternatives but never named openai/following-instructions-human-feedback. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable fine-tuning AI models with human feedback for alignment?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. TRL
    3. OpenAI's Alignment Research Framework (ARF)
    4. DeepMind's Acme
    5. Ray RLlib
    6. Ray
    7. PyTorch-RLHF
    8. RL4LMs

    AI recommended 8 alternatives but never named openai/following-instructions-human-feedback. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 openai/following-instructions-human-feedback?
    pass
    AI named openai/following-instructions-human-feedback explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openai/following-instructions-human-feedback in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/following-instructions-human-feedback 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 openai/following-instructions-human-feedback solve, and who is the primary audience?
    pass
    AI did not name openai/following-instructions-human-feedback — 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?

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openai/following-instructions-human-feedback — 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