going to involve this meta training data and the key idea behind setting up metal learning algorithms I think is best summarized by this sentence from a paper by venules at all called matching networks which says that our training procedure is based on a simple machine learning principle which is that tests and train conditions must match now let's unpack this a little bit what are the test conditions well test here refers to meta test right so meta test time is adaptation the test condition is that a model parametrized by theta star