3 docs tagged with "attention"

Understanding how multiple attention 'heads' allow Transformers to capture diverse linguistic and spatial relationships simultaneously.

Understanding how models weigh the importance of different parts of an input sequence using Queries, Keys, and Values.

A comprehensive deep dive into the Transformer architecture, including Encoder-Decoder stacks and Positional Encoding.