<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DeepSeek-V3 on Peng Tan's AI Blog</title><link>https://c44db530.hobbytp-github-io.pages.dev/zh/tags/deepseek-v3/</link><description>一个关注 AI 各领域的专题博客</description><atom:link href="https://c44db530.hobbytp-github-io.pages.dev/zh/tags/deepseek-v3/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSeek V3 论文解读</title><link>https://c44db530.hobbytp-github-io.pages.dev/zh/deepseek/deepseek_v3/</link><pubDate>Fri, 14 Feb 2025 18:10:00 +0800</pubDate><guid>https://c44db530.hobbytp-github-io.pages.dev/zh/deepseek/deepseek_v3/</guid><description>本文介绍了深度求索（DeepSeek）公司推出的新一代推理模型DeepSeek-V3，并对其技术原理、主要贡献、论文方法、评估结果和局限性进行了详细解读。</description></item></channel></rss>