Multi-Head Attention

An extension of the attention mechanism that runs multiple attention operations in parallel, each focusing on different aspects or relationships in the input, and combines their outputs. Multi-head attention allows the model to simultaneously attend to different types of information, such as syntactic structure and semantic meaning, and is a core building block of transformer architectures.