MobileAIModel

74 篇笔记

00-前言AIAgent/docs/1 00-项目总览与技术选型AIAgent/docs/3 01-Python基础速成AIAgent/docs/2 01-环境搭建-uv与项目骨架AIAgent/docs/3 01-第一章-初识智能体AIAgent/docs/1 1. Agent基础概念AIAgent 1.大模型概念介绍 02-环境搭建-uv与开发工具链AIAgent/docs/2 02-第二章-智能体发展史AIAgent/docs/1 02-语料体系-从零建知识库AIAgent/docs/3 2. AI Agent介绍AIAgent 2.模型训练及微调 03-Agent原理与HelloAgents框架精讲AIAgent/docs/2 03-第三章-大语言模型基础AIAgent/docs/1 03-黄金评测集与判分标准AIAgent/docs/3 3.PyTorchAIAgent 3.RAG 04-RAG切分与入库AIAgent/docs/3 04-Web开发基础-FastAPI与前后端分离AIAgent/docs/2 04-第四章-智能体经典范式构建AIAgent/docs/1 4.Agent Skill 4.模型压缩AIAgent 05-混合检索-BM25与向量与RRFAIAgent/docs/3 05-第五章-基于低代码平台的智能体搭建AIAgent/docs/1 05-项目一-智能旅行助手从0到1AIAgent/docs/2 5.AIGC 5.MCPAIAgent 06-检索评测-用数字证明变好了AIAgent/docs/3 06-第六章-框架开发实践AIAgent/docs/1 06-项目二-深度研究智能体从0到1AIAgent/docs/2 6.LangChainAIAgent 6.TensorFlow Lite 6.机器学习 07-第七章-构建你的智能体框架AIAgent/docs/1 07-面试官状态机与CLIAIAgent/docs/3 07-项目三-赛博小镇从0到1AIAgent/docs/2 7.向量数据库AIAgent 7.深度学习 08-Docker与部署实战AIAgent/docs/2 08-Web服务-FastAPI与SSE与落库AIAgent/docs/3 08-第八章-记忆与检索AIAgent/docs/1 8.NLP自然语言 8.上下文功能AIAgent 09-三层评估体系AIAgent/docs/3 09-常见问题与排错手册AIAgent/docs/2 09-第九章-上下文工程AIAgent/docs/1 9.Transformer架构 9.测试AIAgent 10-模型微调与私有化部署AIAgent/docs/3 10-第十章-智能体通信协议AIAgent/docs/1 10-进阶知识补全与面试指南AIAgent/docs/2 10.文本分类意图识别AIAgent 11-Docker与上线AIAgent/docs/3 11-毕业项目-从零手敲一个完整AgentAIAgent/docs/2 11-第十一章-Agentic-RLAIAgent/docs/1 12-CI建设与质量闸门AIAgent/docs/3 12-实战手敲二-多智能体旅行规划系统AIAgent/docs/2 12-第十二章-智能体性能评估AIAgent/docs/1 12.LangGraphAIAgent 13-实战手敲三-深度研究智能体AIAgent/docs/2 13-踩坑手册与面试话术AIAgent/docs/3 13-附录A-Python从零到能开发AIAgent/docs/1 13.上下文压缩AIAgent 14-实战手敲四-记忆小镇多NPCAIAgent/docs/2 14.多AgentAIAgent 15-模型微调与私有化部署AIAgent/docs/2 16-Agent专家踩坑手册与成长路线AIAgent/docs/2 17-面试冲刺-盲区补全与高频追问实战AIAgent/docs/2 18-终极手敲-构建你自己的Agent框架AIAgent/docs/2 19-实战手敲五-企业级文档问答系统AIAgent/docs/2 20-实战手敲六-LangGraph重写研究智能体AIAgent/docs/2 1AIAgent/docs/1 2AIAgent/docs/2 3AIAgent/docs/3