├── .gitignore ├── LICENSE ├── README.md ├── articles ├── 00-introduction │ ├── image │ │ └── introduction │ │ │ ├── 1694248366853.png │ │ │ ├── 1694249048730.png │ │ │ └── 1694249575455.png │ ├── imgs │ │ ├── langchain+chatglm.png │ │ ├── 大模型技术栈-实战与应用.png │ │ └── 大模型技术栈-算法与原理.png │ ├── introduction.docx │ └── introduction.md ├── 01-agent │ ├── imgs │ │ ├── image-20230909103314020.png │ │ ├── image-20230909103849920.png │ │ ├── image-20230909111629069.png │ │ ├── image-20230909112136592.png │ │ ├── react_font.png │ │ ├── 行动决策与环境感知的任务协同分析-第二篇 │ │ │ ├── image-20230909103849920.png │ │ │ ├── image-20231021205743582.png │ │ │ ├── image-20231021213049923.png │ │ │ ├── image-20231021213107635.png │ │ │ ├── image-20231021221344238.png │ │ │ └── images.jpeg │ │ └── 行动决策与环境感知的任务协同分析 │ │ │ ├── image-20230909103314020.png │ │ │ ├── image-20230909103849920.png │ │ │ ├── image-20230909111629069.png │ │ │ ├── image-20230909133639650.png │ │ │ ├── image-20230909152745682.png │ │ │ ├── image-20230909152808532.png │ │ │ ├── image-20230909160034084.png │ │ │ ├── image-20230909160047075.png │ │ │ ├── image-20230909160058793.png │ │ │ ├── image-20230909160334508.png │ │ │ └── image-20230909160347941.png │ ├── 关于REACT中行动决策与环境感知的任务协同分析.pptx │ ├── 此处是一个高维空间在同空间下，低维的子空间映射图.kra │ ├── 行动决策与环境感知的任务协同分析-第一篇.md │ └── 行动决策与环境感知的任务协同分析-第二篇.md ├── 02-chatchat加载p-tuning │ └── chatchat加载ptuning.md ├── 03-大模型技术栈概览 │ ├── 大模型技术栈-算法与原理.docx │ └── 大模型技术栈-算法与原理.png ├── 04-大模型推理优化策略 │ ├── 大模型推理优化策略.docx │ └── 大模型推理优化策略.png ├── 05-大模型指令对齐训练 │ ├── 大模型指令对齐训练原理.docx │ └── 大模型指令对齐训练原理.png ├── 06-大模型分布式训练技术 │ ├── 分布式训练技术原理.docx │ └── 分布式训练技术原理.png ├── 07-大模型应用技术原理 │ ├── 大模型应用技术原理.docx │ └── 大模型应用技术原理.png ├── 08-强化学习简介 │ └── 强化学习简介.docx ├── 09-AIOps调研报告 │ ├── AIOps.docx │ └── AIOps.png ├── 10-AIOps方法论 │ ├── AIOps方法论.docx │ └── AIOps方法论.png ├── 11-RCA根因分析技术 │ ├── RCA Survey.docx │ └── RCA Survey.png └── 12-有限马尔可夫过程简介 │ └── 有限马尔可夫过程.md └── chatchat-qrcode.jpg /.gitignore: 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