Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering
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The remarkable success of the transformer machine learning architecture for processing language sequences far exceeds the performance of classical signal processing methods. A unique component of transformer models is the scaled dot-product attention (SDPA) la... ...
