What primary technique do Edge AI Engineers frequently use to adapt cloud-trained models for resource-constrained edge hardware?
Answer
Model quantization or pruning.
Edge AI Engineers adapt models by employing techniques such as model quantization or pruning, which are methods used to reduce the model's footprint and computational load without significantly compromising its accuracy.
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