<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>量化 - 标签 - 华华的小站</title><link>http://blog.zyhector.com/tags/%E9%87%8F%E5%8C%96/</link><description>量化 - 标签 - 华华的小站</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><lastBuildDate>Mon, 30 Mar 2026 17:48:36 -0700</lastBuildDate><atom:link href="http://blog.zyhector.com/tags/%E9%87%8F%E5%8C%96/" rel="self" type="application/rss+xml"/><item><title>「从零开始学大模型」TurboQuant</title><link>http://blog.zyhector.com/2026/03/07-turboquant/</link><pubDate>Mon, 30 Mar 2026 17:48:36 -0700</pubDate><author>Hector</author><guid>http://blog.zyhector.com/2026/03/07-turboquant/</guid><description>&lt;p>TurboQuant 是最近的热门，Google 一将它发出来，各种自媒体都在疯传说这个技术将内存占用率压缩了 6 倍，内存价格闪崩。出于兴趣以及正好在学大模型，就看了一下，发现其实也没有想象的那么复杂。&lt;/p></description></item></channel></rss>