REPOGEO REPORT · LITE

project-baize/baize-chatbot

Default branch main · commit 4fae6c4e · scanned 5/28/2026, 1:23:12 AM

GitHub: 3,160 stars · 283 forks

AI VISIBILITY SCORE

35 /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

3 / 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 project-baize/baize-chatbot, 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 relevant topics to the repository

Why:

COPY-PASTE FIX

chatbot, llm, large-language-model, fine-tuning, lora, conversational-ai, chatgpt, alpaca, llama

highreadme#2

Add a concise problem-solution statement to the README's opening

Why:

CURRENT

<p align="center"><a href="https://arxiv.org/abs/2304.01196">[📄 Paper]</a> | <a href="https://huggingface.co/spaces/project-baize/Baize-7B">[🤗 Demo]</a> | <a href="https://github.com/project-baize/baize-chatbot#cli-and-api">[🔧 CLI & API]</a> </p>
<hr>

COPY-PASTE FIX

<p align="center"><a href="https://arxiv.org/abs/2304.01196">[📄 Paper]</a> | <a href="https://huggingface.co/spaces/project-baize/Baize-7B">[🤗 Demo]</a> | <a href="https://github.com/project-baize/baize-chatbot#cli-and-api">[🔧 CLI & API]</a> </p>
<p align="center"><b>🚀 Baize helps you efficiently train your own custom conversational AI model in hours with a single GPU, leveraging ChatGPT-generated dialogues.</b></p>
<hr>

mediumreadme#3

Enhance the 'What's Baize?' section to highlight fine-tuning and self-generated data

Why:

CURRENT

Baize is an open-source chat model trained with LoRA. It uses 100k dialogs generated by letting ChatGPT chat with itself. We also use Alpaca's data to improve its performance.

COPY-PASTE FIX

Baize is an open-source chat model trained with LoRA, designed for **efficiently fine-tuning custom conversational AI models**. It leverages 100k multi-turn dialogs **self-generated by letting ChatGPT chat with itself**, combined with Alpaca's data to improve performance and provide **high-quality instruction data**.

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 project-baize/baize-chatbot

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/peft

Recommended in 3 of 2 queries

COMPETITOR LEADERBOARD

huggingface/peft · recommended 3×
huggingface/transformers · recommended 1×
OpenAI Fine-tuning API · recommended 1×
Google Cloud Vertex AI · recommended 1×
Model Garden · recommended 1×

CATEGORY QUERY
How can I efficiently train a custom conversational AI model using existing large language models?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. PEFT (huggingface/peft)
3. LoRA (huggingface/peft)
4. QLoRA (huggingface/peft)
5. OpenAI Fine-tuning API
6. Google Cloud Vertex AI
7. Model Garden
8. Microsoft Azure Machine Learning
9. Azure OpenAI Service
10. Ludwig (ludwig-ai/ludwig)
AI recommended 10 alternatives but never named project-baize/baize-chatbot. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are open-source options for fine-tuning a chat model with self-generated instruction data?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. PEFT
3. TRL
4. Axolotl
5. Lit-GPT
6. DeepSpeed
7. Ludwig
AI recommended 7 alternatives but never named project-baize/baize-chatbot. 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 project-baize/baize-chatbot?
pass
AI named project-baize/baize-chatbot explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts project-baize/baize-chatbot in production, what risks or prerequisites should they evaluate first?
pass
AI named project-baize/baize-chatbot 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 project-baize/baize-chatbot solve, and who is the primary audience?
pass
AI named project-baize/baize-chatbot explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite