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Non ML expert here.

Training an ML model typically takes large datasets and compute power.

Using a model that has already been trained requires less compute power and some ML apps (trained models) certainly exist on smartphones.

One example is in some motion and gesture apps that detect if you are walking / running / riding a bike. Some use ML. The classifiers were trained on a large set of data external to the app, but they run on the device afterward.

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