Few-shot learning provides a small number of examples in the prompt so the model can infer the desired pattern without fine-tuning.
AI Glossary
Few-Shot Learning
Coverage in development
Few-shot learning provides a small number of examples in the prompt so the model can infer the desired pattern without fine-tuning.
Definition
Plain English explanation
You show a couple of worked examples in the message so the model copies the pattern.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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