Transformer
Multi-head Attention
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.
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