<?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>移动端部署 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E7%A7%BB%E5%8A%A8%E7%AB%AF%E9%83%A8%E7%BD%B2/</link><description>Recent content in 移动端部署 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>Thu, 16 Jul 2026 10:09:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%A7%BB%E5%8A%A8%E7%AB%AF%E9%83%A8%E7%BD%B2/index.xml" rel="self" type="application/rss+xml"/><item><title>边缘AI部署实战：在资源受限设备上运行大模型</title><link>https://guijiagi.com/posts/b2-00a223f8/</link><pubDate>Thu, 16 Jul 2026 10:09:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-00a223f8/</guid><description>探讨在手机、边缘服务器等资源受限设备上部署大模型的技术方案，涵盖模型压缩、推理引擎选择与硬件适配</description></item></channel></rss>