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Automated judges and calibration

Golden sets and labelsScoring model outputJudges and calibrationStubbing and replayModel swaps and gatesDrift detection
Development

Automated judges and calibration

  • Evaluating Prompt Candidates Without a Human Judge
  • Scoring an Automated Judge on the Golden Set First
  • A Judge's Agreement Score: When to Trust It and When to Retrain
  • A Relevance Rubric an Automated Judge Can Apply
  • Calibrating a Judge Against a Cheap Model: Agreement and Bias
  • Calibrating a Judge Against Human Labels: Size and Agreement
  • Calibrating an Automated Judge Against Human Labels
  • Calibration Before Thresholds: Making a Score Mean What It Says
  • Confidence Scores an Agent Can Trust: Calibration
  • Judging Model Output Without a Human: Rubrics and Calibration
  • Recording a Rubric Exception When a Reviewer Overrides the Judge
  • Telling a Real Quality Drop from Judge Noise on a Small Sample
  • When a Human Judge and a Model Judge Disagree: A Tie-Break Rule
  • When the Judge Disagrees With the Assertion
AI testing and evals

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