you you okay resuming so first let's look into unsupervised data augmentation for at for a consistency training in same as for a Fleming so this is a paper from Google brain from Cork lace group and these slides are from tong long was one of the authors in this paper so we've already seen how important data augmentation is and it's it's it's been significantly useful in supervised learning the high data regime but if you just do supervised learning if you don't have a lot of labels just data augmentation isn't gonna get you very