<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scale on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/scale/</link><description>Recent content in Scale on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/scale/index.xml" rel="self" type="application/rss+xml"/><item><title>广泛的</title><link>https://terms-en.ai-term-hub.com/zh/terms/extensive/</link><pubDate>Sat, 18 Jul 2026 10:51:07 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/extensive/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>“广泛”指人工智能操作的规模和全面性，例如大规模数据集、广泛的评估套件或沉重的计算负载。广泛的数据集确保模型的泛化能力和鲁棒性。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>描述涵盖大范围、大容量或大量场景的人工智能数据集、计算或评估。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>规模&lt;/li>
&lt;li>全面性&lt;/li>
&lt;li>体量&lt;/li>
&lt;li>覆盖范围&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>在数百万张图像上进行训练&lt;/li>
&lt;li>在服务器负载上运行压力测试&lt;/li>
&lt;li>进行广泛的安全审计&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/large-scale-%E5%A4%A7%E8%A7%84%E6%A8%A1/">Large-scale (大规模)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/comprehensive-%E7%BB%BC%E5%90%88%E7%9A%84/">Comprehensive (综合的)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/dataset-%E6%95%B0%E6%8D%AE%E9%9B%86/">Dataset (数据集)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/robustness-%E9%B2%81%E6%A3%92%E6%80%A7/">Robustness (鲁棒性)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>