There is something I do not get in the illustrated transformer article from Jay Alamar (http://jalammar.github.io/illustrated-transformer/). In the decoder side paragraph, he said
The encoder start by processing the input sequence. The output of the top encoder is then transformed into a set of attention vectors K and V.
How the hell do we compute those K and V?. If i well understood, the output of the encoder is a matrice (Number of words x Embedding Length). So where those K and V come from please?