<?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>Tutorials on Ship of Theseus</title><link>https://www.fanfani.net/tutorials/</link><description>Recent content in Tutorials on Ship of Theseus</description><generator>Hugo -- 0.152.2</generator><language>en-us</language><lastBuildDate>Sun, 23 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.fanfani.net/tutorials/index.xml" rel="self" type="application/rss+xml"/><item><title>Inside the Machines</title><link>https://www.fanfani.net/tutorials/inside-the-machines/</link><pubDate>Tue, 30 Jun 2026 22:18:15 +0200</pubDate><guid>https://www.fanfani.net/tutorials/inside-the-machines/</guid><description>&lt;p&gt;A plain-language guide to how modern AI models actually work — no maths required.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/inside-the-machines/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>How Encoder–Decoder LLMs Work</title><link>https://www.fanfani.net/tutorials/encoder-decoder-lessons/</link><pubDate>Tue, 30 Jun 2026 15:09:43 +0200</pubDate><guid>https://www.fanfani.net/tutorials/encoder-decoder-lessons/</guid><description>&lt;p&gt;A 10-lesson technical course on the mechanics of encoder–decoder (seq2seq) transformers.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/encoder-decoder-lessons/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>How Mixture-of-Experts LLMs Work</title><link>https://www.fanfani.net/tutorials/moe-lessons/</link><pubDate>Tue, 30 Jun 2026 13:40:14 +0200</pubDate><guid>https://www.fanfani.net/tutorials/moe-lessons/</guid><description>&lt;p&gt;A 10-lesson technical course on the mechanics of Mixture-of-Experts language models.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/moe-lessons/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>How Encoder LLMs Work</title><link>https://www.fanfani.net/tutorials/encoder-deep-dive/</link><pubDate>Tue, 30 Jun 2026 11:57:28 +0200</pubDate><guid>https://www.fanfani.net/tutorials/encoder-deep-dive/</guid><description>&lt;p&gt;A 10-lesson technical course on the mechanics of encoder language models.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/encoder-deep-dive/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>How Diffusion Models Work</title><link>https://www.fanfani.net/tutorials/diffusion-lessons/</link><pubDate>Tue, 30 Jun 2026 10:52:57 +0200</pubDate><guid>https://www.fanfani.net/tutorials/diffusion-lessons/</guid><description>&lt;p&gt;A 10-lesson technical course on the mathematics of diffusion models.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/diffusion-lessons/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>How LLMs Work</title><link>https://www.fanfani.net/tutorials/llm-lessons/</link><pubDate>Tue, 30 Jun 2026 10:52:57 +0200</pubDate><guid>https://www.fanfani.net/tutorials/llm-lessons/</guid><description>&lt;p&gt;A 10-lesson technical course on the mechanics of large language models.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/tutorials/llm-lessons/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>