Machine learning is also increasingly helpful for sifting through and categorising huge amounts of data. This can help to create early warnings about risks of fraudulent or unsafe food.
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In short: if you can swap in a different set of weights and use the exact same inference code for a different task, your setup is legitimate. If the inference code is inseparable from the algorithm, it's not.