of crowd favorites that are maybe good to take not not to do that primary methods necessarily but one common theme is well can we do meta training where we have different numbers of classes for different tasks or different numbers of data points for different classes yeah absolutely so and actually this is a this is a good question to talk about now too because um these different approaches can handle variable numbers of training data points and numbers of number of data points per class and varied number variable numbers