luban-agi/Awesome-Domain-LLM

• highreadme#1

  Reposition the README's opening to explicitly state its focus on domain-specific LLMs

  Why:

  CURRENT

  本项目旨在收集和梳理垂直领域的**开源模型**、**数据集**及**评测基准**。

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  本项目是一个专注于**垂直领域大语言模型 (Domain-LLM)** 的精选资源列表，旨在系统地收集和梳理各行业（如医疗、金融、法律、教育等）的**开源模型**、**高质量数据集**及**权威评测基准**。

  OpenDoneDismiss
• mediumtopics#2

  Expand repository topics to include specific domain and resource types

  Why:

  CURRENT

  awesome-list, dataset, llm, nlp, paper-list

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  awesome-list, domain-llm, vertical-llm, industry-llm, medical-llm, legal-llm, finance-llm, llm-benchmarks, llm-datasets, open-source-llm

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• lowhomepage#3

  Add the repository URL as the homepage

  Why:

  COPY-PASTE FIX

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  https://github.com/luban-agi/Awesome-Domain-LLM

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Where can I find open-source large language models and datasets for specific industries?

  you: not recommended
  AI recommended (in order):

  1. Hugging Face Hub
  2. Kaggle
  3. Papers With Code
  4. Google Dataset Search
  5. arXiv
  6. GitHub
  7. MIMIC-III
  8. National Library of Medicine (NLM)

  AI recommended 8 alternatives but never named luban-agi/Awesome-Domain-LLM. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What resources exist for evaluating and fine-tuning LLMs for various professional domains?

  you: not recommended
  AI recommended (in order):

  1. Weights & Biases
  2. Hugging Face Transformers (huggingface/transformers)
  3. Hugging Face Datasets (huggingface/datasets)
  4. Hugging Face Evaluate (huggingface/evaluate)
  5. MLflow (mlflow/mlflow)
  6. LangChain (langchain-ai/langchain)
  7. DeepEval (confident-ai/deepeval)
  8. OpenAI Evals (openai/evals)
  9. Ragas (explodinggradients/ragas)

  AI recommended 9 alternatives but never named luban-agi/Awesome-Domain-LLM. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of luban-agi/Awesome-Domain-LLM?

  pass
  ⚠AI did not name luban-agi/Awesome-Domain-LLM — 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 luban-agi/Awesome-Domain-LLM in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named luban-agi/Awesome-Domain-LLM 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 luban-agi/Awesome-Domain-LLM solve, and who is the primary audience?

  pass
  ✓AI named luban-agi/Awesome-Domain-LLM explicitly

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