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Capability means a model can do a task on some inputs; reliability means it does the task acceptably across the full range of real inputs, segments and adversarial cases. AI products routinely demo capability and then stall in pilots. This guide explains the gap, gives separate milestones and gates for each, and shows how to communicate the difference to stakeholders.
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