LLMBook-Zh.Github.Io

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LLMBook-zh.github.io is an Open Source Research & Education tool that provides a comprehensive Chinese textbook on large language models. It offers a systematic framework and roadmap for LLM technologies, suitable for deep learning beginners.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

About

What is LLMBook-zh.github.io?

LLMBook-zh.github.io is an open-source project providing a comprehensive Chinese textbook titled "大语言模型" (Large Language Models). Authored by Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, and Wen Jirong, this book aims to popularize and disseminate the latest advancements in large model technology. It offers a systematic framework and roadmap for LLM technologies, making it ideal for beginners with a background in deep learning. The project includes PDF courseware, code snippets on GitHub, and related teaching videos on Bilibili, serving as a valuable resource for both academic study and practical application. The content covers essential topics such as pre-training, fine-tuning, alignment, and prompt engineering, drawing from the authors' extensive research and practical experience in developing large models.

Best used for

Ideal for students, professors, and teachers who need to learn about large language models, access structured course materials, and find practical code examples. Especially valuable for those seeking a comprehensive, systematic overview of LLM technologies in Chinese, supported by academic and practical insights.

Common actions

learn large language models

access LLM course materials

study LLM algorithms

find LLM code examples

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Capabilities

Key features

Chinese LLM textbook
PDF courseware
GitHub code snippets
Bilibili teaching videos
Systematic LLM framework

Target Audience

studentprofessorteacher

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

What topics are covered in the LLMBook-zh textbook?

The textbook covers a wide range of topics including the history of language models, foundational LLM technologies, Transformer architecture, pre-training data engineering and processes, instruction fine-tuning, human alignment, decoding and deployment, prompt learning, and complex reasoning. It aims to provide a systematic overview for deep learning practitioners.

How can I access the course resources mentioned in the book?

The LLMBook-zh project provides several resources. You can download PDF courseware, access all code snippets mentioned in the book on GitHub, and watch related teaching videos on Bilibili. Specific instructions and links are available on the project's GitHub page.

Is the LLMBook-zh suitable for beginners in large language models?

Yes, the book is specifically designed to provide a comprehensive technical explanation for beginners in large language models. It assumes a background in deep learning and aims to present a systematic framework and roadmap for understanding LLM technologies.

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