step one choosing how we want to represent this inference problem essentially and so I you can ask well can we just treat this as an inference problem and and pretty clear neural networks are actually are quite good at inference so maybe we can just use a neural network to to represent this function itself and that's exactly what the first approach will be so this is what we'll refer to as blackbox adaptation approaches and the key idea is for a neural network to represent this function that outputs a set of