<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>提示词工程 - 标签 - Luhong's Blog</title><link>https://blog.luhg.cn/tags/%E6%8F%90%E7%A4%BA%E8%AF%8D%E5%B7%A5%E7%A8%8B/</link><description>提示词工程 - 标签 - Luhong's Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><lastBuildDate>Tue, 09 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.luhg.cn/tags/%E6%8F%90%E7%A4%BA%E8%AF%8D%E5%B7%A5%E7%A8%8B/" rel="self" type="application/rss+xml"/><item><title>06Prompt Engineering 的常见策略及适用场景</title><link>https://blog.luhg.cn/06prompt-engineering-%E7%9A%84%E5%B8%B8%E8%A7%81%E7%AD%96%E7%95%A5%E5%8F%8A%E9%80%82%E7%94%A8%E5%9C%BA%E6%99%AF/</link><pubDate>Tue, 09 Jun 2026 00:00:00 +0000</pubDate><author>Luhong</author><guid>https://blog.luhg.cn/06prompt-engineering-%E7%9A%84%E5%B8%B8%E8%A7%81%E7%AD%96%E7%95%A5%E5%8F%8A%E9%80%82%E7%94%A8%E5%9C%BA%E6%99%AF/</guid><description><![CDATA[<h1 id="prompt-engineering如何让-llm-说出你真正想要的话">Prompt Engineering：如何让 LLM 说出你真正想要的话</h1>
<blockquote>
<p>模型还是那个模型，但问法不同，答案天差地别。
这就是 <strong>Prompt Engineering</strong>——学会和大语言模型“好好说话”。</p>]]></description></item></channel></rss>