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Few-Shot Learning
AI Glossary Term
What is Few-Shot Learning?
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.
Top-k Sampling
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.
AI Safety
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
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