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Can you control the size of the models so they are small enough for target hardware?
When you select the target hardware, Qeexo AutoML becomes aware of its memory constraints, so that the models developed will always fit onto the device. We also use many different kinds of techniques such as feature selection, hyperparameter optimization, and engine setting optimization to make sure models are the smallest possible.