learning benchmarks so at the performance level they all perform quite well okay so now let's talk about Bayesian meta learning approaches so we had this really nice motivation for for Bayesian methods and then we kind of threw that all away in the last thirty minutes or so and so and particularly what we did is we assume that this PFI given the data set and the meta parameters is going to be a point estimate or a deterministic function of the training data point and and the meta parameters you might as well maybe this