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Golden sets and labeled samples

Golden sets and labelsScoring model outputJudges and calibrationStubbing and replayModel swaps and gatesDrift detection
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Golden sets and labeled samples

  • A Golden-Set Check That Blocks a Gateway Rule Change
  • Anonymized Data for Model Evaluation: Building a Held-Out Set
  • Evaluating a RAG Pipeline End to End: Golden Sets, Judges, Drift
  • Golden Sets for Support Agents: Intents and Escalation Paths
  • A Golden Set of Context Tuples for Key Regression
  • A Golden Set That Ranks Models by Cost Per Accepted
  • A Second Golden Set for the Cheap Model's Strengths
  • Building a Golden Dataset for Retrieval Evals
  • Building the Labeled Sample Behind a Routing Cutoff
  • Generating Golden Cases from Support Tickets and Traces
  • Labeling a Test Set Without Burning Out Your Team
  • Refreshing a Golden Set When Documents Change
  • Sampling Production Traffic for an Eval Set: Strata and Gaps
  • Sampling Strata for a Gate's Labeled Set
  • Sampling Tickets into a Golden Set: Strata and Held-Out Cases
  • Versioning a Golden Set Alongside Your Embedding Model
  • When a Golden Set Gets Stale: Refresh Triggers from Ticket Drift
AI testing and evals

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