AI Glossary Term

What does “Model Drift” mean?

Definition

Performance degradation over time as real-world conditions diverge from training assumptions.

Related terms

Data Drift
A shift in real-world input data over time that can degrade model performance.
Machine Learning (ML)
Methods that allow systems to learn patterns from data and improve over time.
Training Loss
The model error value computed during training and optimized downward over time.
Autonomous System
A system that can make decisions and act with limited or no direct human control in real time.
Continual Learning
Training approaches that let a model keep learning from new data without forgetting prior knowledge.
Knowledge Cutoff
The latest point in time reflected in a model's training data.

Learn more in our free guides

AI Models ExplainedModel CollapseModel LifecycleModel Context Protocol

See also

Model CardModel QuantizationMixture of Experts (MoE)Multimodal ModelMemory (Agent Memory)Named Entity Recognition (NER)Natural Language Processing (NLP)Loss Function
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