<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Cloud_Flow的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Cloud_Flow</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Cloud_Flow]]></copyright><item><title><![CDATA[LLM深入思考（一）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/160134666</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/160134666</guid><author>Cloud_Flow</author><pubDate>Tue, 14 Apr 2026 09:58:46 +0800</pubDate><description><![CDATA[本文深入探讨了RAG（检索增强生成）和Agent（智能体）两大模块的核心优化策略及前沿技术。在RAG方面，针对检索前查询模糊问题，提出查询重写、HyDE和多查询扩展等方法；针对数据分块，强调结构化切分和语义分块的重要性；在检索过程中，建议采用混合检索和重排序技术提升精度。Agent模块则聚焦ReAct范式、多智能体协作和安全防护，特别介绍了DPO（直接偏好优化）如何取代传统RLHF，提升效率与稳定性。最后，文章分析了知识获取边界及安全挑战，提出过程奖励模型和轨迹DPO等解决方案，确保AI系统的高效与合规。这]]></description><category></category></item><item><title><![CDATA[深入理解Transformer——从QKV开始]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/145304715</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/145304715</guid><author>Cloud_Flow</author><pubDate>Wed, 22 Jan 2025 16:02:16 +0800</pubDate><description><![CDATA[本章从底层QKV的角度介绍了Transformer模型的架构，基本原理等。]]></description><category></category></item><item><title><![CDATA[数据挖掘各流程中的常用方法总结（三）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/129119601</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/129119601</guid><author>Cloud_Flow</author><pubDate>Fri, 24 Feb 2023 16:47:20 +0800</pubDate><description><![CDATA[前两个小节我们分别介绍了数据的EDA过程和数据预处理阶段的常用方法，下面是本系列的最后一部分——数据建模与验证。]]></description><category></category></item><item><title><![CDATA[数据挖掘各流程中常用方法总结（二）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/129100463</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/129100463</guid><author>Cloud_Flow</author><pubDate>Sun, 19 Feb 2023 16:01:31 +0800</pubDate><description><![CDATA[上一节我们讲到数据预处理中构造衍生特征部分的特征交互的简单原理。本节我们将继续从特征选择、特征编码、特征标准化三个方面介绍数据预处理的常用方法。]]></description><category></category></item><item><title><![CDATA[数据挖掘各流程中常用方法总结（一）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128980906</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128980906</guid><author>Cloud_Flow</author><pubDate>Fri, 17 Feb 2023 21:45:20 +0800</pubDate><description><![CDATA[在完成两个kaggle竞赛的教学项目之后，对数据挖掘过程中的常用方法和基本原则有所体会，特此记录，方便今后复习整理。]]></description><category></category></item><item><title><![CDATA[kaggle竞赛——房价预测（二）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128972753</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128972753</guid><author>Cloud_Flow</author><pubDate>Fri, 10 Feb 2023 17:16:41 +0800</pubDate><description><![CDATA[kaggle竞赛——房价预测（二）]]></description><category></category></item><item><title><![CDATA[Kaggle竞赛——房价预测（一）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128961838</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128961838</guid><author>Cloud_Flow</author><pubDate>Fri, 10 Feb 2023 16:18:15 +0800</pubDate><description><![CDATA[kaggle经典竞赛——房价预测]]></description><category></category></item><item><title><![CDATA[Kaggle竞赛——桑坦德银行客户满意度预测（四）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128722403</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128722403</guid><author>Cloud_Flow</author><pubDate>Wed, 18 Jan 2023 01:10:58 +0800</pubDate><description><![CDATA[kaggle竞赛——桑坦德银行客户满意度预测]]></description><category></category></item><item><title><![CDATA[kaggle竞赛——桑坦德银行客户满意度预测（三）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128713001</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128713001</guid><author>Cloud_Flow</author><pubDate>Wed, 18 Jan 2023 00:41:18 +0800</pubDate><description><![CDATA[kaggle竞赛系列——桑坦德银行客户满意度预测]]></description><category></category></item><item><title><![CDATA[kaggle竞赛——桑坦德银行客户满意度预测（二）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128703171</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128703171</guid><author>Cloud_Flow</author><pubDate>Tue, 17 Jan 2023 10:28:16 +0800</pubDate><description><![CDATA[kaggle竞赛教学系列——桑坦德银行客户满意度预测]]></description><category></category></item><item><title><![CDATA[Kaggle竞赛——桑坦德银行客户满意度预测（一）]]></title><link>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128692099</link><guid>https://blog.youkuaiyun.com/Cloud_Flow/article/details/128692099</guid><author>Cloud_Flow</author><pubDate>Sun, 15 Jan 2023 23:05:19 +0800</pubDate><description><![CDATA[kaggle教学赛系列]]></description><category></category></item></channel></rss>