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Zero-shot learning in NLP

ZEER-oh SHOT LER-ning

/ˈzɪəroʊ ʃɒt ˈlɜːrnɪŋ/

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Syllable breakdown

zeroshotlearning

Dictionary meaning

A machine learning paradigm in which a model performs a task it has never explicitly been trained on, by leveraging learned representations or natural language instructions to generalise to unseen classes or tasks without any task-specific labelled examples.

Examples

  • Zero-shot learning in NLP allows a model trained on other tasks to classify sentiment in a new domain without retraining.
  • Large language models exhibit strong zero-shot learning capabilities when prompted with clear task descriptions.

Synonyms: zero-shot generalisation, zero-shot classification

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