Ten Failure Modes That Define Small and On-Device AI Deployments
A model that passes every benchmark on the bench can still fail in the field — not from one bug, but from ten separate ways a device diverges from the conditions the benchmark assumed.
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A model that passes every benchmark on the bench can still fail in the field — not from one bug, but from ten separate ways a device diverges from the conditions the benchmark assumed.
A model that answers correctly on the phone sitting on an engineer's desk has cleared the lowest bar in the project. Compression, cloud fallback, fleet testing, versioning and privacy claims are each a decision — made well on purpose, or made badly by default.
Distillation, pruning and quantization are not three names for the same haircut. Each removes a different kind of thing from a trained checkpoint, in a specific order, and each recovers the resulting loss by a different mechanism.