SMRTR summary
AI systems don't guarantee identical outputs for identical inputs, making traditional testing inadequate. A new discipline—AI Validation Engineering—is needed, focusing on output grounding, drift detection, and action-level auditing instead of applying deterministic QA to probabilistic models.
SMRTR provides this summary for quick context. The original article belongs to SD Times.
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