AI Glossary Term

What is Data Drift?

Definition

A shift in real-world input data over time that can degrade model performance.

Related terms

Model Drift
Performance degradation over time as real-world conditions diverge from training assumptions.
Autonomous System
A system that can make decisions and act with limited or no direct human control in real time.
Machine Learning (ML)
Methods that allow systems to learn patterns from data and improve over time.
Context Window
The maximum amount of input tokens a language model can process at once.
Feature Extraction
Converting raw data into informative features that a model can use.
Knowledge Cutoff
The latest point in time reflected in a model's training data.

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