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The Multi-Head Attention layer is a critical component of the Transformer model, a groundbreaking architecture in the field of natural language processing. The concept of Multi-Head Attention is designed to allow the model to jointly attend to information from different representation subspaces at different positions. Here’s a breakdown of the basics: 1. Attention Mechanism: 2….