knowledge distillation is what it this this is usually called knowledge distillation if you use a teacher model to train a student model and it is often used when the student model is smaller than the teacher because you want to kind of become more efficient you from so the teacher is large you make the student small and you usually sacrifice some accuracy and here they say if you want to gain some accuracy you need a large student model it can't be like a small one number five data balancing is useful for small models