AI Model Performance Metrics 2025

Report type: QA evaluation summary

Date: 2025-11-30

Summary

  • Internal evaluations show 95%+ accuracy on curated customer-support and medical FAQ sets.
  • Accuracy measured using blinded grading and consensus review.
  • Report documents the datasets, grading rubric, and QA workflow used for scoring.
  • Results are summarized per dataset and rolled up for overall reporting.
  • Findings inform QA thresholds and release readiness reviews.

Key Data

  • 95%+ accuracy on curated customer-support and medical FAQ sets.
  • Blinded grading with consensus review for final scores.
  • Dataset summaries include customer-support intents and medical FAQ categories.
  • Evaluation references include rubric definitions and review workflow notes.

Sources