What does Few-Shot Learning mean? Definition | AI Understanding

Definition

Learning or adapting behavior from only a small number of examples.

Related terms

In-Context Learning

A model's ability to follow patterns from examples provided directly in the prompt.

Reinforcement Learning from Human Feedback (RLHF)

A training method that uses human preference signals to shape model behavior.

A decoding strategy that samples only from the k most likely next tokens.

Zero-Shot Learning

Solving tasks without task-specific examples by relying on prior general knowledge.

A field focused on reducing harmful behavior, failures, and misuse risks in AI systems.

API (Application Programming Interface)

A structured way for one software system to send requests to and receive responses from another system.

Learn more in our free guides

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

See also

Feature Extraction Fine-Tuning Feature Engineering Foundation Model Feature Function Calling False Positive GAN (Generative Adversarial Network)

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