across all the different dreams so that is a caveat of this algorithm right so finally let's talk about some other things which are not exactly about bids back so well all these algorithms that we talked about so far basically fall into the to the framework of you pre-trained a generative model on on some training set which you assume is you know drawn from the same distribution as the test set that you want to compress and then and then you just devise a coding algorithm that matches the negative log likelihood of