flâneur — a map of the web's best reading

Everything About Transformers

krupadave.com · 4,204 words · saved by 2 readers

A visual, intuitive deep dive into transformer architecture: history, design choices, and the why behind attention, masking, and positional encoding.

The research paper "Attention is All You Need" is regarded as one of the most important & groundbreaking publications in the realm of ML. The paper introduces the transformer architecture and the attention mechanism, yet many still struggle to wrap their head around it. When I posted my progress update on my encoder block written in CUDA (Python + Numba), a lot of responses echoed a similar theme: "I want to understand how transformers work from the ground up." This got me thinking. What really helped ME understand the transformer? It was story-telling & illustrations. Every model in the histo

Explore this link on the map →

saved by

related reading