<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[tigerinus的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/tigerinus</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; tigerinus]]></copyright><item><title><![CDATA[LLM 大语言模型应用的分段策略]]></title><link>https://blog.youkuaiyun.com/tigerinus/article/details/134061954</link><guid>https://blog.youkuaiyun.com/tigerinus/article/details/134061954</guid><author>tigerinus</author><pubDate>Thu, 26 Oct 2023 18:05:54 +0800</pubDate><description><![CDATA[做好一个基于 LLM 的应用，需要在有限的 token 数量内完成推理任务。常见的做法是将大量的信息根据一定的策略，进行分段（chunking）]]></description><category></category></item><item><title><![CDATA[基于多向量检索器的多模态 RAG 实现]]></title><link>https://blog.youkuaiyun.com/tigerinus/article/details/134052430</link><guid>https://blog.youkuaiyun.com/tigerinus/article/details/134052430</guid><author>tigerinus</author><pubDate>Thu, 26 Oct 2023 17:23:11 +0800</pubDate><description><![CDATA[使用 LangChain 多向量检索器（Multi-Vector Retriever）结合多模态大语言模型对多内容类型的文档实现更好的 RAG 效果]]></description><category></category></item></channel></rss>