because we have large amounts of data across all of the meta training tasks so the key idea behind these approaches is can we use a parametric meta learner in order to produce a nonparametric learner okay and note that some of these methods that I'll be presenting do precede parametric approaches but we're presenting them in this in this group setting to aid in understanding okay so the key idea here is is here's a few shell learning problem and one of the things you might ask is well what one thing you could once very simple thing