Concepts & capability filters
learning_paradigm
Few-shot learning
Few-shot learning enables large language models to perform tasks effectively using only a small number of labeled examples (typically 1-10) provided in the prompt, relying on in-context learning without parameter updates.
- Category
- learning_paradigm
- Difficulty
- Not classified
- Aliases
- None tracked
- Last reviewed
- 2026-07-02
Key facts
- It bridges the gap between zero-shot and fine-tuning by demonstrating patterns through examples.