you make a student you make sorry with step three over here train an equal or larger student model with combined data and noise injected so they don't they use the original label data here and the pseudo-labeled data right here in order to train the student but still this the student doesn't have more information more label information than the teacher had it simply has this teacher labeled teacher labeled unlabeled data also to train on now the crucial part here is well first of all that the student can be larger and second of all that there