AI glossary Models & Architecture
What is Few-Shot Learning?
← All glossary termsTeaching with few examples; useful when labeled data is scarce.
Explained
Few-shot learning trains or adapts a model using very few labeled examples. LLMs excel at this via in-context learning—showing a few examples in the prompt without retraining.