<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Evaluation on knowledged.to</title><link>https://knowledged.to/tags/evaluation/</link><description>Recent content in Evaluation on knowledged.to</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 14 May 2026 18:33:28 +0530</lastBuildDate><atom:link href="https://knowledged.to/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>Six-Dimension Art Evaluation Rubric</title><link>https://knowledged.to/notes/ml/art-evaluation-rubric/</link><pubDate>Thu, 14 May 2026 13:02:47 +0000</pubDate><guid>https://knowledged.to/notes/ml/art-evaluation-rubric/</guid><description>A six-dimension rubric (Beauty, Color, Texture, Content Detail, Line, Style) for evaluating AI-generated artworks, derived from traditional painting analysis principles.</description></item><item><title>Rubric: Meaning and Origin</title><link>https://knowledged.to/notes/vocabulary/rubric/</link><pubDate>Thu, 14 May 2026 12:50:15 +0000</pubDate><guid>https://knowledged.to/notes/vocabulary/rubric/</guid><description>Definition and etymology of &amp;#34;rubric&amp;#34;, from Latin red-ink manuscript headings to its modern meaning as a structured evaluation guide.</description></item><item><title>LLM as Judge</title><link>https://knowledged.to/ai/concepts/llm-as-judge/</link><pubDate>Thu, 14 May 2026 10:34:24 +0000</pubDate><guid>https://knowledged.to/ai/concepts/llm-as-judge/</guid><description>Using a language model to evaluate another model&amp;#39;s outputs as a scalable proxy for human preference judgments.</description></item><item><title>Deterministic Graders (for LLM / AI Evaluation)</title><link>https://knowledged.to/ai/concepts/deterministic-graders/</link><pubDate>Fri, 24 Apr 2026 17:18:23 +0000</pubDate><guid>https://knowledged.to/ai/concepts/deterministic-graders/</guid><description>Definition and best practices for deterministic grading in LLM evaluation using code-based rules instead of model-in-the-loop judgment.</description></item></channel></rss>