model so we want to have fast inference time for this prediction is much more important in this case than it is for typical examples of model distillation where the data sets aren't that large when you have billions of images you want to make sure the teacher model has fast inference I think with the rising popularity of knowledge distillation model distillation techniques such as hugging faces disco Bert and now Facebook semi weekly supervised training paradigm we're gonna see these kinds of inference accelerators like in videos