Sergiy Bondaryev
Interactive articles that build intuition for machine learning, such as a diffusion transformer turning random dots into shapes and a transformer learning tic-tac-toe.
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Training a 125M-Parameter Model to Autocomplete Piano
A write-up of training a small transformer to autocomplete piano MIDI performances in real time on-device, covering the…
Jay Alammar's Illustrated Guides
Illustrated guides that break down how transformers, GPT, and other AI models work using detailed step-by-step diagrams…
LLM Attention Visualization
An interactive visualization with a short explanation of how attention lets a language model draw selectively on earlier…
Transformers from Scratch
A patient, jargon-light walkthrough of how transformer models work, building the idea from simple pieces up to attention…
The GPT-3 Architecture, on a Napkin
A hand-drawn, step-by-step diagram tour of how GPT-3 turns words into predictions, covering embeddings, attention and la…
Quantization From the Ground Up
A visual, interactive guide to how language models store numbers as floats and why squeezing them to 4 or 8 bits barely…
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