How ranrango/foundations-of-llms works
This repository is an educational resource for learning large language models, with a six-chapter Chinese textbook, an English edition, classic-paper references, and dated research-update articles. The principal workflow is for a reader to study the complete book or its individual chapters; readers can also consult paper lists and weekly updates to follow related and emerging work. The README documents the book’s chapter topics and the paper-list collection, but no source excerpts were provided, so the graph represents documented content access rather than internal processing.
Main entry points: 大模型经典论文列表 Classic Papers · 第1章 语言模型基础.pdf Language Models · 第2章 大语言模型架构.pdf LLM Architectures · 第3章 Prompt 工程.pdf Prompt Engineering
Components 11
Textbook
- Complete Textbook
《大模型基础》教材/大模型基础 完整版.pdf - Language Models
《大模型基础》教材/《大模型基础》分章节内容/第1章 语言模型基础.pdf - LLM Architectures
《大模型基础》教材/《大模型基础》分章节内容/第2章 大语言模型架构.pdf - Prompt Engineering
《大模型基础》教材/《大模型基础》分章节内容/第3章 Prompt 工程.pdf - Parameter Tuning
《大模型基础》教材/《大模型基础》分章节内容/第4章 参数高效微调.pdf - Model Editing
《大模型基础》教材/《大模型基础》分章节内容/第5章 模型编辑.pdf - RAG
《大模型基础》教材/《大模型基础》分章节内容/第6章 检索增强生成.pdf - English Edition
Foundations_of_LLMs(English_version)/Foundation_of_LLMs.pdf
Research Updates
- Weekly Reports
Arxiv 一周进展报告（大模型方向）
Paper References
- Classic Papers
大模型经典论文列表
Other components
- Reader
Connections 16
- Reader → Complete Textbook: reads
- Reader → Language Models: reads
- Reader → LLM Architectures: reads
- Reader → Prompt Engineering: reads
- Reader → Parameter Tuning: reads
- Reader → Model Editing: reads
- Reader → RAG: reads
- Reader → English Edition: reads
- Reader → Weekly Reports: browses
- Reader → Classic Papers: consults
- Language Models → Classic Papers: related papers
- LLM Architectures → Classic Papers: related papers
- Prompt Engineering → Classic Papers: related papers
- Parameter Tuning → Classic Papers: related papers
- Model Editing → Classic Papers: related papers
- RAG → Classic Papers: related papers