What does Data Drift mean? Definition | AI Understanding

Definition

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

Related terms

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.

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.

Learn more in our free guides

AI & Data Vector Databases Synthetic Data AI Data Governance

See also

Data Augmentation Data Labeling Cross-Entropy Loss Dataset Convolutional Neural Network (CNN)Decision Boundary Continual Learning Decision Tree

Browse the full AI Glossary Explore all free AI guides