<?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>人工智能 on Blog</title><link>https://icelemon.top/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/</link><description>Recent content in 人工智能 on Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 19 Oct 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://icelemon.top/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/index.xml" rel="self" type="application/rss+xml"/><item><title>从一片噪声，到一张图像</title><link>https://icelemon.top/knowledge/diffusion-models/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/diffusion-models/</guid><description>扩散模型怎样把生成图像，拆成一连串可以学习的去噪任务。</description></item><item><title>模型能力突然出现，可能发生了什么</title><link>https://icelemon.top/knowledge/emergence-and-measurement/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/emergence-and-measurement/</guid><description>规模规律、评分方式与延迟泛化，分别解释了不同的变化。</description></item></channel></rss>