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AI Glossary
Explanations of terms from the broad field of AI
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Fairness in AI
Principle that models should not discriminate against groups.
Feature
Measurable input attribute used by a model.
Feature Engineering
Transforming raw data into informative model inputs.
Federated Learning
Decentralized training across devices with privacy protection.
Feedforward Network
Layers without feedback; data flow only forward.
Few-Shot Learning
Learning from only a few examples.
Fine-Tuning
Further training a pre-trained model on new data.
Fraud Detection
Detecting suspicious patterns in transactions using AI.