better model but you end up with a pretty good model that you couldn't have gotten by just training the small small model but so that's already pretty cool but why you get a better model with when they're the same size that's I don't think that's well understood yet so that's the three-stage approach so recap first use all of the data without labels to do unsupervised or self supervised contrastive pre-training second use only the data that has labels to do fine tuning third either distill the learnt classifier to a smaller model or distill