I have been looking into transformers lately and have been reading tons of tutorials. All of them address the intuition behind attention, which I understand. However, but they treat traininglearning the weight matrices for(for query, key, and value like) as it is the most trivial thing?.
So, how are they trainedthese weight matrices learned? Is the error just backpropagated, and the weights are updated accordingly?