<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Benchmarks &amp; Leaderboards — The Latent Daily</title><description>Results, comparisons and the metrics behind them.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/benchmarks-leaderboards.xml" rel="self" type="application/rss+xml"/><item><title>How AI benchmarks work — and why they keep &quot;saturating&quot;</title><link>https://thelatentdaily.com/articles/how-ai-benchmarks-work-and-why-they-saturate/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-benchmarks-work-and-why-they-saturate/</guid><description>MMLU, SWE-bench, ARC and LMArena: how AI benchmarks are built, what their scores really measure, why models quickly max them out and how to read leaderboards.</description><pubDate>Sun, 18 Oct 2026 05:24:00 GMT</pubDate><category>Benchmarks &amp; Leaderboards</category><category>benchmarks</category><category>evaluation</category><category>leaderboards</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>MMLU explained: the exam that measured AI knowledge across 57 subjects</title><link>https://thelatentdaily.com/research/mmlu-benchmark-paper-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/mmlu-benchmark-paper-explained/</guid><description>How the 2020 MMLU benchmark tested language models on law, medicine, math and more, why it became the standard for years, and why newer tests replaced it.</description><pubDate>Sun, 18 Oct 2026 05:23:00 GMT</pubDate><category>Benchmarks &amp; Leaderboards</category><category>benchmarks</category><category>mmlu</category><category>evaluation</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to build an evaluation set for an LLM application</title><link>https://thelatentdaily.com/guides/how-to-build-an-evaluation-set-for-llm-apps/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/how-to-build-an-evaluation-set-for-llm-apps/</guid><description>The most important tool in AI engineering: how to collect test cases, define success criteria, score outputs automatically and by hand, and run evals on every change.</description><pubDate>Sun, 18 Oct 2026 04:43:00 GMT</pubDate><category>Evals &amp; Observability</category><category>evals</category><category>testing</category><category>developers</category><category>quality</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Quick take: benchmark scores won&apos;t tell you which AI model to use</title><link>https://thelatentdaily.com/articles/quick-take-benchmark-scores-dont-pick-your-model/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/quick-take-benchmark-scores-dont-pick-your-model/</guid><description>Why leaderboard rankings are a poor guide to choosing an AI model for your work, what they do measure, and a simple way to test models on your own tasks.</description><pubDate>Sun, 18 Oct 2026 02:48:00 GMT</pubDate><category>Quick Take</category><category>benchmarks</category><category>model-selection</category><category>evaluation</category><category>opinion</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>