"few-shot" meaning in English

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      "expansion": "few-shot (not comparable)",
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  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
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        {
          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
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            "Artificial intelligence",
            "Computer science",
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        {
          "ref": "2023 October 30, Herbold et al., “A large-scale comparison of human-written versus ChatGPT-generated essays”, in Scientific Reports, volume 13, page 4:",
          "text": "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.",
          "type": "quote"
        }
      ],
      "glosses": [
        "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."
      ],
      "id": "en-few-shot-en-adj-T-8OHTZA",
      "links": [
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          "machine learning",
          "machine learning"
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          "paradigm",
          "paradigm"
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          "model",
          "model"
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        [
          "data",
          "data"
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        [
          "approach",
          "approach"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning, attributive) 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."
      ],
      "tags": [
        "attributive",
        "not-comparable"
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  "word": "few-shot"
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  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
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          "ref": "2023 October 30, Herbold et al., “A large-scale comparison of human-written versus ChatGPT-generated essays”, in Scientific Reports, volume 13, page 4:",
          "text": "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.",
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      ],
      "glosses": [
        "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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          "machine learning",
          "machine learning"
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      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning, attributive) 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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        "attributive",
        "not-comparable"
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  "word": "few-shot"
}