conceptually quite related to a number of other problem settings including transfer learning multitask learning you know even things like semi-supervised learning in that all of these problem settings deal with incorporating additional data that is not quite from your task but is going to help you solve your task more efficiently the main difference is that meta learning deals with a setting where you still have to do some amount of adaptation on your new task transfer learning formula in a certain ways can I