that we would look at like it usually takes the form of a deterministic mapping so when when Q of B given a is deterministic then like you don't you don't get to represent the whole marginal distribution unless P of P itself is only a pawn mass but that is a correct observation but like you said like I suggested like I mean this is a very weak learning signal like if you don't correct you if you don't construct your model in the right way like you you could extract nothing from it so let's see some examples of like how like how