Distilled models are compact AI versions trained to mimic larger, resource-heavy models. They retain most accuracy while running faster on everyday devices like smartphones or edge hardware. Developers and businesses benefit by deploying advanced AI with lower costs and minimal latency, making real-time applications—like chatbots or image recognition—more accessible.
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