├── README.md └── xmind ├── GOT.xmind ├── GPU关联知识.xmind ├── GraphRAG.xmind ├── IRCoT.xmind ├── LLM+KG.xmind ├── MoE.xmind ├── RAG优化.xmind ├── RankRAG.xmind ├── RouterLLM.xmind ├── Speculative RAG.xmind ├── petals.xmind ├── raptor.xmind ├── self-rag.xmind ├── 分布式训练技术原理.xmind ├── 多模态模型.xmind ├── 大模型上下文扩展技术.xmind ├── 大模型参数高效微调及扩展.xmind ├── 大模型应用技术原理.xmind ├── 大模型技术栈-实战与应用.xmind ├── 大模型技术栈-算法与原理.xmind ├── 大模型技术栈.xmind ├── 大模型指令对齐训练原理.xmind ├── 大模型推理优化策略.xmind └── 非结构文档处理.xmind /README.md: -------------------------------------------------------------------------------- 1 | # 大语言模型技术栈一览 2 | 3 | ## 1. 总览-大模型技术栈 4 | 5 | ## 2. 总览-大模型技术栈-算法与原理 6 | 7 | ## 3. 总览-大模型技术栈-实战与应用 8 | 9 | ## 4. 训练-分布式训练技术原理 10 | 11 | ## 5. 训练-大模型上下文扩展技术 12 | 13 | ## 6. 训练-大模型指令对齐训练原理 14 | 15 | ## 7. 训练-大模型参数高效微调及扩展 16 | 17 | ## 8. 推理-大模型推理优化策略 18 | 19 | ## 9. 应用-大模型应用技术原理 20 | 21 | ## 10. 应用-LLM+KG 22 | 23 | ## 11. 关联知识-GPU关联知识 24 | 25 | ## 12. 关联知识-非结构文档处理 26 | 27 | ## 13. 关联知识-MoE 28 | 29 | ## 14. 关联知识-多模态模型 30 | 31 | ## 15. 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