quickly and as a result you'll either over fit to those six examples or you won't be able to adapt quickly enough and move far enough from your initialization so this is what we want to be able to do a test I may be quite nice if we can just run fine tuning on on our six examples and get a get it up get some answer some function so this what we wanna be able to do at test time the key idea behind this approach is to explicitly optimize for us how to pre train parameters such that fine tuning with a very small data set works very