<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt-Evaluation on DATATWEETS</title><link>https://datatweets.com/tags/prompt-evaluation/</link><description>Recent content in Prompt-Evaluation on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Tue, 14 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/prompt-evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>Compare LLM Prompts with a Paired Bootstrap in Python</title><link>https://datatweets.com/tutorials/compare-llm-prompts-paired-bootstrap-python/</link><pubDate>Tue, 14 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/tutorials/compare-llm-prompts-paired-bootstrap-python/</guid><description>A higher accuracy is not automatically a reliable improvement. Build a paired prompt evaluation in Python, measure the accuracy difference, and use resampling to show how uncertain that difference is.</description></item></channel></rss>