say that's going to be the information that we are aggregating and the soft max here the output of the softmax is going to be how we aggregate information this is the attention all right i hope that's sort of clear you introduce these positional embeddings for queries keys and values and that allows the model to have a sense of where the information is coming from basically what positions which if you drop the convolutions so the convolution had this intrinsically because in your convolutional kernel right uh can i