Running AI models on edge devices (phones, IoT devices, vehicles) rather than in the cloud. Edge AI reduces latency, improves privacy, and enables offline operation.
The process of using a trained model to make predictions on new data. Inference is distinct from training and typically requires optimization for speed and cost in production environments.
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