example a number of times because it's useful for comparing different approaches but the same sorts of ideas are also applicable to things like regression to language generation and and and prediction to skill learning really any machine learning problem you can construct in this way where you're training it on a number of machine learning problems and you want it to be able to generalize to learning a new problem with a small amount of data ok so now that we know how to evaluate a meta learning algorithm was actually dig