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Home/Glossary/Feature Engineering
AI Glossary Term

What does “Feature Engineering” mean?

Definition

Designing or transforming input variables to make learning easier and more effective.

Related terms

Feature
An input variable used by a model to make predictions.
Classification
A task where a model assigns an input to one or more predefined categories.
Prompt Engineering
Designing prompts to improve output quality, reliability, and controllability.
Alignment Tax
The extra cost in time, compute, or product velocity required to make systems safer and more controllable.
Feature Extraction
Converting raw data into informative features that a model can use.
Feature Store
A managed system for storing and serving validated ML features consistently for training and inference.

Learn more in our free guides

Prompt EngineeringLinear Probing and Frozen Feature EvaluationFeature Engineering Pipelines and Data VersioningOnline and Offline Feature Serving Skew

See also

False PositiveFew-Shot LearningFalse NegativeFine-TuningExplainabilityFoundation ModelEvaluation SetFunction Calling
PreviousFeatureNextFeature Extraction
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