than creating separate moving average embeddings for every sample so you take your model Tita there's also en male version of Tita and you make sure that the embeddings that you get for one view matches the in bearings very good for the other view but with different encoders basically so that's the idea of this main teacher approach where the teacher can be considered as the AMA version and a you think about it as a teacher because it's giving you these constraints and you also perform the classification task as