LLMBook-zh/LLMBook-zh.github.io

• highabout#1

  Update the repository description to be more specific

  Why:

  CURRENT

  《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

  COPY-PASTE FIX

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  《大语言模型》：一本面向中文读者的全面大语言模型技术参考书籍，由赵鑫、李军毅、周昆、唐天一、文继荣合著。

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• highreadme#2

  Add licensing information to the README

  Why:

  COPY-PASTE FIX

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  Add a new section to the README, for example, under '关于本书' (About This Book), stating the intended license for the book's content. For instance: '本书内容采用 [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.zh) 授权。' (This book's content is licensed under [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License]).

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• mediumtopics#3

  Add more specific topics to improve categorization

  Why:

  CURRENT

  artificial-intelligence, deep-learning, deep-neural-networks, deep-reinforcement-learning, fine-tuning, language-model, large-language-models, natural-language-processing, nlp, pretrained-models

  COPY-PASTE FIX

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  artificial-intelligence, deep-learning, deep-neural-networks, deep-reinforcement-learning, fine-tuning, language-model, large-language-models, natural-language-processing, nlp, pretrained-models, chinese-language, educational-resource, book, reference-book

  OpenDoneDismiss

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

• CATEGORY QUERY

  Where can I find a comprehensive guide for understanding large language models?

  you: not recommended
  AI recommended (in order):

  1. The Illustrated Transformer
  2. Attention Is All You Need
  3. Neural Networks: Zero to Hero
  4. Deep Learning
  5. Hugging Face's Transformers
  6. Language Models are Few-Shot Learners
  7. Google Cloud

  AI recommended 7 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Seeking structured resources to learn about deep learning foundations for LLM development.

  you: not recommended
  AI recommended (in order):

  1. Deep Learning Specialization by Andrew Ng
  2. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  3. Neural Networks and Deep Learning by Michael Nielsen
  4. Hugging Face Transformers Course
  5. Speech and Language Processing by Daniel Jurafsky and James H. Martin
  6. fast.ai's Practical Deep Learning for Coders

  AI recommended 6 alternatives but never named LLMBook-zh/LLMBook-zh.github.io. This is the gap to close.

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• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of LLMBook-zh/LLMBook-zh.github.io?

  pass
  ⚠AI did not name LLMBook-zh/LLMBook-zh.github.io — 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 LLMBook-zh/LLMBook-zh.github.io in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named LLMBook-zh/LLMBook-zh.github.io 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 LLMBook-zh/LLMBook-zh.github.io solve, and who is the primary audience?

  pass
  ⚠AI did not name LLMBook-zh/LLMBook-zh.github.io — 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?