Zero-Shot vs Few-Shot Learning

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llms OpenAI Google Anthropic

What is the difference between zero-shot and few-shot learning in large language models?

Multiple Choice

Zero-shot uses no training data at all; few-shot fine-tunes on a small dataset Zero-shot provides no in-context examples; few-shot includes several examples in the prompt Zero-shot works only on classification; few-shot works only on generation Zero-shot requires a larger model; few-shot works on any model size

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Zero-Shot vs Few-Shot Learning

Multiple Choice

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