well and so what this looks like is we're going to take the fine tuning process written here this is just one step of gradient descent but you could also use a few steps or up to like ten steps of green descent for example then we are going to take where we were after got after fine tuning this can be like Phii for example evaluate how well that generalizes to new data points for that task this is measuring how successful fine-tuning was and then we can optimize this objective with regard to the initial set of parameters so we're gonna