<?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>Dlm on TPOW Lab</title><link>https://tpow-001.netlify.app/tags/dlm/</link><description>Recent content in Dlm 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/dlm/index.xml" rel="self" type="application/rss+xml"/><item><title>NVlabs/Nemotron-Labs-Diffusion 詳細教學 — 擴散 LM × Linear 自推測 × DGX Spark serving 完整實作指南</title><link>https://tpow-001.netlify.app/post/2026-06-02-nemotron-labs-diffusion-tutorial/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://tpow-001.netlify.app/post/2026-06-02-nemotron-labs-diffusion-tutorial/</guid><description><![CDATA[<h1 id="nvlabsnemotron-labs-diffusion--tri-mode-擴散語言模型完整教學" data-numberify>NVlabs/Nemotron-Labs-Diffusion — Tri-Mode 擴散語言模型完整教學<a class="anchor ms-1" href="#nvlabsnemotron-labs-diffusion--tri-mode-擴散語言模型完整教學"></a></h1>
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<p>本教學針對 <code>NVlabs/Nemotron-Labs-Diffusion</code>（commit <code>2026-05-28</code>，stars 32，dual license: Apache-2.0 code + NOML weights）撰寫，為內部知識庫的「擴散 LM 工程化 reference」。</p>]]></description></item></channel></rss>