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Home/Glossary/Validation Set
AI Glossary Term

What does “Validation Set” mean?

Definition

A dataset used during development to tune models and prevent overfitting.

Related terms

Dataset
A collection of structured or unstructured examples used for training, validation, or testing.
Evaluation Set
A held-out dataset used to measure model quality after training.
Benchmark
A standardized test or dataset used to measure and compare model performance.
Test-Time Compute
Additional inference computation used during response generation to improve quality or reasoning.
AI Governance
Policies, standards, and oversight mechanisms that guide how AI is developed and used in society.
Algorithm
A defined set of rules or steps that a computer follows to solve a problem or complete a task.

Learn more in our free guides

Cross-ValidationLAION and Open DatasetsOnset Detection in Audio

See also

Unsupervised LearningVector DatabaseTraining LossVision-Language Model (VLM)TransformerWeak SupervisionTransfer LearningWeight
PreviousUnsupervised LearningNextVector Database
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