Few-Shot Learning

In more detail

Few-shot learning allows models to perform new tasks with minimal training examples (few examples) or zero examples (zero-shot). LLMs excel at in-context learning: learning from examples in the prompt. This enables rapid task adaptation without retraining.

Examples

• In-context learning with LLMs
• Few-shot image classification
• Zero-shot text classification
• One-shot learning

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