Transformers, Deep Learning, Machine Learning, Editors Pick, Data Science.
we shall consider scaled dot-product attention, as introduced in the original paper, as this is the most common approach. In this section, assume that all of our embeddings have been positionally encoded. Recalling that our aim is to create contextualised embeddings using linear combinations of our