It is actually very different: - AutoML is used to automate the design of the ML model. - Population-based trained is used to automate the choice of the hyper

It is actually very different: - AutoML is used to automate the design of the ML model. - Population-based trained is used to automate the choice of the hyperparameters (e.g. the rate of learning). If you wanted to use both, you'd first use AutoML to find a good design for your problem, and then you'd use PBT when training your network.