<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>内存 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%86%85%E5%AD%98/</link><description>Recent content in 内存 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Wed, 24 Jun 2026 15:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%86%85%E5%AD%98/index.xml" rel="self" type="application/rss+xml"/><item><title>KV Cache 原理与优化：LLM 推理加速核心</title><link>https://guijiagi.com/posts/kv-cache-guide/</link><pubDate>Wed, 24 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/kv-cache-guide/</guid><description>深入解析 KV Cache 的工作原理、内存计算与优化技术，包括 PagedAttention、量化 KV Cache 等</description></item></channel></rss>