and of course the way that it works is you have a set of pre trading parameters data and you run gradient descent using training data for your new tasks okay so this is this works really well in a number of different situations but what if your train data for your new task has only a few data points like the six data points that I showed in the example at the beginning well in this case things like fine tuning are gonna break down a bit because though they weren't actually trained for the ability to adopt very