<?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>Autoregressive on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/autoregressive/</link><description>Recent content in Autoregressive on TPOW Lab</description><generator>Hugo</generator><language>en</language><copyright>Copyright &amp;copy; 2025-2026 TPOW-001. All Rights Reserved.</copyright><lastBuildDate>Tue, 02 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tpow-001.netlify.app/tags/autoregressive/index.xml" rel="self" type="application/rss+xml"/><item><title>NVIDIA Cosmos 教學手冊 — Physical AI 的 World Foundation Model 入門</title><link>https://tpow-001.netlify.app/post/2026-06-02-cosmos-tutorial/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-02-cosmos-tutorial/</guid><description><![CDATA[<h1 id="nvidia-cosmos-教學手冊" data-numberify>NVIDIA Cosmos 教學手冊<a class="anchor ms-1" href="#nvidia-cosmos-教學手冊"></a></h1>
<blockquote>
<p>這份手冊把 <code>nvidia/cosmos</code> 從「Physical AI 入口 hub」拆成可讀、可實作、可資安審查的內部知識文件。
對應 gh-save metadata 報告：<code>inbox/2026-06-02-github-nvidia-cosmos.md</code>
對應姊妹文件（NVIDIA 生態系）：<code>inbox/2026-06-02-tutorial-Nemotron.md</code></p>]]></description></item></channel></rss>