of it there's still quite a bit going on and so we're but basically there's three parts there's we're gonna talk about first we're going to talk about this attention part then we'll talk about the part of the bottom of the positional coding the top parts just not that hard it's just a simple fully connected layer so the attention mechanism in the middle is the key to making this thing work on documents of variable lengths and the way they do that is by having an all-to-all comparison for every layer of the neural network it considers every