Summary
This research investigates the production viability of a real-time, multi-dimensional scoring engine for LLM outputs, aiming to grade every output within a sub-200ms latency before it reaches an end-user. This capability is critical for regulated industries, like financial services, to provide provable and auditable evidence that their AI outputs meet stringent quality and compliance thresholds.
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