to make predictions about the test data points and in that case theta G is optimized with all the other meta parameters of F so it's optimized just like all the other meta parameters another question about the black box setup tation so we'll Hib trivial meaning like why wouldn't a chai just learn to recognize which task is fed in and just up what's sort of like a one hot indicator for one of the N tasks that's a good question I think that in practice it doesn't do you have an answer for that yeah maybe one way to