optimize for set of pre train parameters such that fine tuning gives us a generalizable function for that task and of course we don't want to just do this over one task but we'll do this over all of the tasks that are meta training data set so that we can learn an initialization that's amenable to fine tuning for many different types of tasks ok so the key ideas is to learn this parameter vector that transfers effectively via fine tuning ok so what does this look like at a somewhat more intuitive level say theta is the the