<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_46658243的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_46658243</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_46658243]]></copyright><item><title><![CDATA[Skills--可复用的Agent技能包]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/169144282</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/169144282</guid><author>qq_46658243</author><pubDate>Mon, 26 Oct 2026 17:59:09 +0800</pubDate><description><![CDATA[本文主要介绍 Skill 的基础知识、自定义 Skill 的整体编写思路，以及开发过程中遇到的问题与解决方案。针对个人实际业务中需要批量整理大量格式各异的 Word 文档的需求，开发了一款文档清洗 Skill。该 Skill 主要实现以下功能：自动清理页眉页脚、封面、修订历史及目录，统一规范标题格式与段落间距，并根据文档内容，在同一份 Word 副本中合理插入 `##` 分段标记，从而实现文档结构的标准化与内容的清晰分段，提高文档整理的效率与规范性。]]></description><category></category></item><item><title><![CDATA[Deepsearch-agents]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/168029549</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/168029549</guid><author>qq_46658243</author><pubDate>Tue, 20 Oct 2026 21:49:58 +0800</pubDate><description><![CDATA[Deepsearch-agents]]></description><category></category></item><item><title><![CDATA[Deep Agents]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/164809412</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/164809412</guid><author>qq_46658243</author><pubDate>Mon, 14 Sep 2026 22:42:59 +0800</pubDate><description><![CDATA[Deep Agents 是 LangChain 开源的 Agent 开发框架，适合构建能够拆解复杂任务、持续调用工具并自主推进工作的智能体。]]></description><category></category></item><item><title><![CDATA[Dify实践之Chatflow]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/164451444</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/164451444</guid><author>qq_46658243</author><pubDate>Mon, 07 Sep 2026 10:35:44 +0800</pubDate><description><![CDATA[此文的前提要求是在chatflow下进行实现。主要功能是通过会话变量构建一个多轮问询的收集信息机制。Chatflow下的实现大多涉及多轮对话的记忆机制。但是本文主要分享表单收集机制。]]></description><category></category></item><item><title><![CDATA[DateWhale---DeepAgents项目 ]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/163895782</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/163895782</guid><author>qq_46658243</author><pubDate>Wed, 19 Aug 2026 22:25:29 +0800</pubDate><description><![CDATA[DateWhale--Deep Agents 实战]]></description><category></category></item><item><title><![CDATA[DateWhale学习--task1]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/163833459</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/163833459</guid><author>qq_46658243</author><pubDate>Mon, 17 Aug 2026 22:11:40 +0800</pubDate><description><![CDATA[Windows下用于开发 WSL Ubuntu 环境]]></description><category></category></item><item><title><![CDATA[Docker 入门：从零到一容器化你的项目]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/162846157</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/162846157</guid><author>qq_46658243</author><pubDate>Mon, 13 Jul 2026 17:13:26 +0800</pubDate><description><![CDATA[Docker 做的事情：把你的项目 + Node.js + 依赖 + 数据库打包成一个「集装箱」，这个集装箱拿到任何装了 Docker 的机器上，一条命令就能跑起来。]]></description><category></category></item><item><title><![CDATA[RAG, 知识库检索基本原理]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/162247238</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/162247238</guid><author>qq_46658243</author><pubDate>Wed, 24 Jun 2026 00:28:28 +0800</pubDate><description><![CDATA[RAG相关原理及Dify构建知识库基本过程]]></description><category></category></item><item><title><![CDATA[硬件NVIDIA DGX AI算力主机相关了解]]></title><link>https://blog.youkuaiyun.com/qq_46658243/article/details/161901572</link><guid>https://blog.youkuaiyun.com/qq_46658243/article/details/161901572</guid><author>qq_46658243</author><pubDate>Thu, 11 Jun 2026 20:36:16 +0800</pubDate><description><![CDATA[Run: ai：GPU调度、队列、资源隔离，算力分配等）主要用于AI推理，训练，AI部署等。（主要组件包括：Base Command Manager(BCM)： 集群管理、节点/GPU注册、部署等；2. NVIDIA Mission Control：基于Run:ai技术，AI数据中心统一编排运维。1. NVIDIA AI Enterprise：优化AI工具链，覆盖训练、推理、监控全流程。（付费订阅，主要包括pyTorch，TensorFlow、CUDA，cuDNN等）]]></description><category></category></item></channel></rss>