Instruction: Explain how edge AI is integrated into MLOps practices and the unique challenges it presents.
Context: This question challenges the candidate to discuss the implications of deploying ML models on edge devices, including operational and technical hurdles.
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The way I'd explain it in an interview is this: Edge AI expands MLOps beyond centralized serving into device fleets with constrained resources, intermittent connectivity, and distributed update management. That changes how you think about packaging, rollout, monitoring,...