Multi-head Attention Overview

Multi-head attention allows models to learn different representations of the input data simultaneously. It enhances the model’s ability to focus on various aspects of the data.

Benefits

  • Parallel Processing: Multiple attention heads process data in parallel.
  • Diverse Representations: Captures different features and relationships in the data.