<?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>AI Engineering on Mohamed Ayman | DevOps &amp; Infrastructure</title><link>https://blog.aymantech.net/tags/ai-engineering/</link><description>Recent content in AI Engineering on Mohamed Ayman | DevOps &amp; Infrastructure</description><image><title>Mohamed Ayman | DevOps &amp; Infrastructure</title><url>https://blog.aymantech.net/images/mohamed-ayman-social-card.png</url><link>https://blog.aymantech.net/images/mohamed-ayman-social-card.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 16 Sep 2026 00:00:00 +0300</lastBuildDate><atom:link href="https://blog.aymantech.net/tags/ai-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Engineering Reading Notes — Chapter 3: Evaluation Methodologies</title><link>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-3/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0300</pubDate><guid>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-3/</guid><description>My Chapter 3 notes on evaluation metrics, functional correctness, reference answers, AI judges, and model rankings from AI Engineering by Chip Huyen.</description></item><item><title>AI Engineering Reading Notes — Chapter 2: Understanding Foundation Models</title><link>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-2/</link><pubDate>Tue, 15 Sep 2026 10:00:00 +0300</pubDate><guid>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-2/</guid><description>My Chapter 2 notes on training data, attention, model size, post-training, and sampling from AI Engineering by Chip Huyen.</description></item><item><title>AI Engineering Reading Notes — Chapter 1: Foundation Models</title><link>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-1/</link><pubDate>Sun, 13 Sep 2026 12:00:00 +0300</pubDate><guid>https://blog.aymantech.net/posts/ai-engineering-reading-notes-chapter-1/</guid><description>My notes on language models, tokens, self-supervision, and adapting foundation models from Chapter 1 of AI Engineering by Chip Huyen.</description></item></channel></rss>