AI Training
Zero-shot Learning
An AI model's ability to perform tasks it wasn't explicitly trained on, without examples.
Zero-shot learning refers to an AI model's ability to perform tasks it wasn't explicitly trained on, without being given examples. Modern large language models exhibit strong zero-shot capabilities—you can ask them to translate, summarize, or classify text without fine-tuning. This contrasts with traditional machine learning, which required task-specific training data. Zero-shot capability makes LLMs versatile tools, though performance often improves with examples (few-shot) or fine-tuning.
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