Demystifying GPT - How Deep Learning Works, by Rachel-Lee Nabors
- Mark Miller
- Mar 17
- 1 min read
Updated: Apr 1
Rachel-Lee Nabors spent the better part of their career on web standards and opensource and has spearheaded developer education at FAANG and startups, on the React Team, and W3C. Now they work to usher in the future with browser builders and Silicon Valley startups, teaching a new generation of builders that “it's not magic; it's just math.” You can find them drinking tea in London or shadowboxing in San Francisco.
Rachel-Lee is presenting their session, streaming live from London, England during the 24 hour Artificial (Un)Intelligence Conference.
Session Description, Dymystifying GPT
What do acronyms like RAG and GPT really mean? What is the math behind the “magic” of deep learning? What is a “perceptron” and why is it called a “neural network?”
This talk demystifies AI’s field of machine learning for technical and non-technical audiences alike. The concepts, mental models, and history needed to grok are colorfully illustrated and explained. From the award-winning cartoonist turned engineer/keynote speaker who has taught millions of developers via react.dev and MDN.
The Artificial (Un)Intelligence Conference is a global, 24 hour live online conference. Registration is free, and includes access to all sessions, including on-demand, at the conclusion of the event. No sales pitches, no marketing. Just the good stuff.
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