Deep Learning, Attention, Transformers, Optical Computing, AI.
representations via an embedding function. For instance, this could convert a sentence, a sequence of word tokens, into a matrix where each row is a vector representation of a word. To calculate the output matrix of the attention layer, the input matrix X is multiplied with the key K, query Q and