Tag: data drift in AI

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Feb, 12 2026

Evaluating Drift After Fine-Tuning: How to Monitor Large Language Model Stability

Drift after fine-tuning silently degrades LLM performance. Learn how to detect data, concept, and label drift using statistical methods, embedding analysis, and reward model tracking to maintain model accuracy and trust in production.