Model distillation techniques create smaller, faster AI models by training a "student" to mimic a larger "teacher" model’s behavior. This reduces computational costs and latency while retaining high accuracy. Developers, startups, and mobile app creators benefit most, enabling efficient deployment of powerful AI on resource-limited devices like smartphones and edge systems.
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