<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Improvement on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/improvement/</link><description>Recent content in Improvement 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/improvement/index.xml" rel="self" type="application/rss+xml"/><item><title>反馈</title><link>https://terms-en.ai-term-hub.com/zh/terms/feedback/</link><pubDate>Sat, 18 Jul 2026 10:51:19 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/feedback/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>反馈机制使AI系统能够从与用户或环境的交互中学习，从而优化未来的预测或行动。这包括强化学习信号、人在回路（human-in-the-loop）等机制。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>反馈涉及利用输出结果来迭代调整和改进AI模型或系统的性能。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>强化学习&lt;/li>
&lt;li>人在回路&lt;/li>
&lt;li>错误纠正&lt;/li>
&lt;li>迭代改进&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>推荐系统调优&lt;/li>
&lt;li>聊天机器人对话优化&lt;/li>
&lt;li>机器人控制调整&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/reinforcement-learning-%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0/">Reinforcement Learning (强化学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/supervised-learning-%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0/">Supervised Learning (监督学习)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/reward-function-%E5%A5%96%E5%8A%B1%E5%87%BD%E6%95%B0/">Reward Function (奖励函数)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>