GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LLMBook-zh.github.io is a comprehensive guide on Large Language Models (LLMs) written in Chinese, ideal for Chinese-speaking beginners seeking to understand LLMs deeply.
Good fit when
- When looking for detailed explanations of LLM technologies written in Chinese
- For readers with a basic understanding of deep learning but needing deeper insights into specific LLMs
Avoid when
- If your primary language is not Chinese and you seek immediate practical application
- For advanced researchers preferring the latest, cutting-edge research without detailed foundational explanations
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (349d since push)
- As of Aug 17, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 17, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LLMBook-zh.github.ioHow it fits your stack(9)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Related
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
本书由多位研究人员编写，系统介绍了大模型相关的技术和知识。从基础概念、算法到具体实现进行了详尽的讲解，并提供了相关课程资源。
Capability facts
- Languages
- python
Source: github.language · Aug 17, 2026
Categories
Tags
README
大语言模型 作者：赵鑫，李军毅，周昆，唐天一，文继荣 关于本书 为了更好地普及和传播大模型技术的最新进展与技术体系，我们于2023年3月发表了大语言模型英文综述文章《A Survey of Large Language Models》，并不断进行更新完善，目前已经更新至第14个版本，95页正文1064个参考文献。自英文综述文章上线后，陆续有读者询问该英文综述文章是否有对应的中文版本。为此，我们于2023年8月发布了该综述（v10）的中文翻译版。2023年12月底，为了更好地提供大模型技术的中文参考资料，我们启动了中文书的编写工作，并且于2024年4月完成...
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