sense that is agnostic to the model that you use and loss function that you use as long as both of them are amenable to gradient based adaptation okay so now that we've gone through the objective again let's let's go through what actually that algorithm looks like so we can take the algorithm that we showed before for the standard for the the black box adaptation approach and instead we want to derive the algorithm for an optimization based approach and what we can do is we can simply just replace step 3 that's inferring the parameters with the