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Drift Detection: Output Distribution Shift + Embedding-Cluster Anomaly

Models 'drift' over time in production: input distribution shifts, output style changes. Detection: response length histogram shift, embedding distance baseline → mean cluster drift, thumbs-down rate trend. Cookbook's weekly drift report — alarm + auto-retrain trigger.

Şükrü Yusuf KAYA
22 min read
Advanced
Drift Detection: Output Distribution Shift + Embedding-Cluster Anomaly
✅ Teslim
  1. Production logs'tan günlük embedding cluster centroid hesap. 2) Drift > 2σ → alarm. 3) Sonraki ders: 16.5 — Continual FT Loop.

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