Understand the attention mechanism and encoder-decoder structure that powers every major language model today. From BERT to GPT-4, it all starts here.
Key Concepts
01Self-Attention
02Multi-Head Attention
03Positional Encoding
04Feed-Forward Networks
05Layer Normalization
Study Note
This module covers the backbone of modern ai. Work through the concepts in order — each one builds on the last. Return to this page as a reference after completing any related papers or implementations.