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Minimized electricity consumption: TinyML models are typically far more efficient than cloud-dependent AI models, which often can assist to extend the battery life of devices.
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Model complexity: Embedded devices often have restricted methods. So it may be tough to train sophisticated models on these AI on portable devices devices.
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