first you have you already have the neural network which was called what was it even called the one that gives you the embedding with the theta okay it's called five theta it's the same architecture and I think they initialize one with the other so in step 1 you get Phi Theta 5 theta goes if from from X gives you a representation of X ok let's call it hidden X so that's via self supervised learning but in step 2 you train an entirely new new neural network this phi ada here and you initialize it with this one but now you