Self-Attention in Transformers
Self-attention is the mechanism that made transformers possible — and by extension, made models like GPT and Claude possible. It's been touched on in a few earlier posts in this series, but it deserves its own deep dive, since it's genuinely the core computational idea the...
Attention Mechanism Explained Simply
"Attention" is the single most important idea behind modern AI language models — so important that the paper that introduced transformers was literally titled "Attention Is All You Need." But the term itself can feel abstract. What does it actually mean for a computer program...
Transformer Architecture for Beginners
If there's one invention responsible for the current AI boom, it's the transformer. Introduced in a 2017 research paper titled "Attention Is All You Need," the transformer architecture is the foundation behind virtually every major LLM today — GPT, Claude, Gemini, Llama, all...
How LLMs Understand Natural Language
Language is messy. The same sentence can mean different things depending on context, tone, or who's speaking. Words have multiple meanings, sarcasm flips a sentence's intent entirely, and pronouns can point to almost anything nearby. Yet LLMs handle this messiness remarkably...
How ChatGPT-Style Models Generate Text
Ever wonder what's actually happening between the moment you hit "enter" on a prompt and the moment text starts appearing on your screen? It's not retrieval, and it's not magic — it's a very fast, very structured process of prediction happening one small piece at a time....
How Large Language Models Work
Large Language Models (LLMs) like GPT-4, Claude, and Gemini can write essays, debug code, and hold surprisingly natural conversations. But under the hood, they're not "thinking" the way humans do — they're performing an extraordinarily sophisticated version of pattern...