few-shot

adjective

A machine learning paradigm where a model is trained on a very small amount of data, typically less than that required for traditional machine learning approaches.

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Meanings

adjectivefew-shot (not comparable)
  1. attributivenot comparablemachine learningA machine learning paradigm where a model is trained on a very small amount of data, typically less than that required for traditional machine learning approaches.

    No additional prompts for getting the responses were used, i.e. the data was created with a basic prompt in a zero-shot scenario. This is in contrast to the benchmarks by OpenAI, who used an engineered prompt in a few-shot scenario to guide the generation of essays.

    2023 October 30, Herbold et al., “A large-scale comparison of human-written versus ChatGPT-generated essays”, in Scientific Reports, volume 13, page 4
Cite this entry
APA

few-shot. (n.d.). In WatkinsX Dictionary. Retrieved November 3, 2026, from https://dictionary.watkinsx.com/word/few-shot

MLA

“few-shot.” WatkinsX Dictionary, https://dictionary.watkinsx.com/word/few-shot. Accessed November 3, 2026.

Chicago

WatkinsX Dictionary, s.v. “few-shot,” accessed November 3, 2026, https://dictionary.watkinsx.com/word/few-shot.

Source: few-shot on Wiktionary, CC BY-SA 4.0.