<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompts on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/prompts/</link><description>Recent content in Prompts on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/prompts/index.xml" rel="self" type="application/rss+xml"/><item><title>Dataset:Nerfgun3/Bad Prompt</title><link>https://terms-en.ai-term-hub.com/en/terms/datasetnerfgun3bad_prompt/</link><pubDate>Sat, 18 Jul 2026 09:53:44 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasetnerfgun3bad_prompt/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>This term refers to a specific dataset hosted on Hugging Face under the user &amp;lsquo;Nerfgun3&amp;rsquo;, titled &amp;lsquo;Bad Prompt&amp;rsquo;. While less standard than major benchmarks, such datasets are often used to study model robustness against adversarial inputs, poor phrasing, or ambiguous instructions. It may serve as negative examples for training filters, testing edge cases in prompt engineering, or evaluating how well models handle noise and degradation in user input compared to clean, well-formed queries.&lt;/p></description></item></channel></rss>