<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Demystifying AI</title><description>An interactive guide to how large language models actually work — from first principles.</description><link>https://demystifying-ai.com/</link><language>en-us</language><item><title>Chapter 1: Words to Numbers</title><link>https://demystifying-ai.com/fundamentals/1-tokens/</link><guid isPermaLink="true">https://demystifying-ai.com/fundamentals/1-tokens/</guid><description>Tokens, BPE, embeddings, and how text becomes math.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate></item><item><title>Chapter 2: Learning Patterns</title><link>https://demystifying-ai.com/fundamentals/2-learning/</link><guid isPermaLink="true">https://demystifying-ai.com/fundamentals/2-learning/</guid><description>Training, prediction, parameters, and what &quot;learning&quot; actually means.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate></item><item><title>Chapter 3: Attention &amp; Context</title><link>https://demystifying-ai.com/fundamentals/3-attention/</link><guid isPermaLink="true">https://demystifying-ai.com/fundamentals/3-attention/</guid><description>The transformer architecture, Q/K/V, context windows, causal vs bidirectional.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate></item><item><title>Chapter 4: From Prediction to Reasoning</title><link>https://demystifying-ai.com/fundamentals/4-reasoning/</link><guid isPermaLink="true">https://demystifying-ai.com/fundamentals/4-reasoning/</guid><description>Temperature, emergence, chain-of-thought, RLHF.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate></item></channel></rss>