<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evals on Ju Lin's AI Weblog</title><link>https://julin.ai/tags/evals/</link><description>Recent content in Evals on Ju Lin's AI Weblog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 22 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://julin.ai/tags/evals/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Engineering SKill Map</title><link>https://julin.ai/2026/08/22/ai-engineering-skill-map/</link><pubDate>Sat, 22 Aug 2026 00:00:00 +0000</pubDate><guid>https://julin.ai/2026/08/22/ai-engineering-skill-map/</guid><description>&lt;p&gt;Andrew Ng&amp;rsquo;s wrote an &lt;a href="https://x.com/AndrewYNg/status/2090840747738374568"&gt;AI Engineering Skills Map&lt;/a&gt;, which lists six things to learn: LLM foundations, grounding models with data, building agentic systems, evaluation-driven development, operating in production, and machine learning foundations.&lt;/p&gt;&#10;&lt;p&gt;As he broke it down, I think the most important skill is learning how to build reliable systems from LLM&amp;rsquo;s uncertain behavior.&lt;/p&gt;&#10;&lt;blockquote&gt;&#10;&lt;p&gt;You don’t know in advance what an LLM will output&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;p&gt;This is the only only truth you need to take away in this post, if you can&amp;rsquo;t remember all.&lt;/p&gt;</description></item></channel></rss>