"zero-shot" meaning in English

{
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        "2": "one-shot learning"
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      "expansion": "one-shot learning",
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  ],
  "etymology_text": "After one-shot learning.",
  "head_templates": [
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      "expansion": "zero-shot (not comparable)",
      "name": "en-adj"
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  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
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          "kind": "topical",
          "langcode": "en",
          "name": "Artificial intelligence",
          "orig": "en:Artificial intelligence",
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      "examples": [
        {
          "text": "zero-shot object detection ― detection of objects not in training data",
          "type": "example"
        },
        {
          "text": "zero-shot translation ― translation between two languages without bilingual data",
          "type": "example"
        },
        {
          "ref": "2022, Sandra Kublik, Shubham Saboo, GPT-3, O'Reilly, page 20",
          "text": "Ask yourself if there is a way to get a zero-shot solution. If you think that you need external examples to prime the model for your use case, think really hard.",
          "type": "quotation"
        },
        {
          "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.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "Relating to zero-shot learning; performing without specialized training data."
      ],
      "id": "en-zero-shot-en-adj-r-4RAOvy",
      "links": [
        [
          "machine learning",
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        [
          "zero-shot learning",
          "zero-shot learning"
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        [
          "training",
          "training"
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        [
          "data",
          "data"
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      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning, attributive) Relating to zero-shot learning; performing without specialized training data."
      ],
      "tags": [
        "attributive",
        "not-comparable"
      ],
      "wikipedia": [
        "en:zero-shot learning"
      ]
    }
  ],
  "word": "zero-shot"
}

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    {
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        "1": "en",
        "2": "one-shot learning"
      },
      "expansion": "one-shot learning",
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    }
  ],
  "etymology_text": "After one-shot learning.",
  "head_templates": [
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      "expansion": "zero-shot (not comparable)",
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  "lang_code": "en",
  "pos": "adj",
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      "examples": [
        {
          "text": "zero-shot object detection ― detection of objects not in training data",
          "type": "example"
        },
        {
          "text": "zero-shot translation ― translation between two languages without bilingual data",
          "type": "example"
        },
        {
          "ref": "2022, Sandra Kublik, Shubham Saboo, GPT-3, O'Reilly, page 20",
          "text": "Ask yourself if there is a way to get a zero-shot solution. If you think that you need external examples to prime the model for your use case, think really hard.",
          "type": "quotation"
        },
        {
          "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.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "Relating to zero-shot learning; performing without specialized training data."
      ],
      "links": [
        [
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        [
          "zero-shot learning",
          "zero-shot learning"
        ],
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          "training",
          "training"
        ],
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          "data",
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      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning, attributive) Relating to zero-shot learning; performing without specialized training data."
      ],
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        "attributive",
        "not-comparable"
      ],
      "wikipedia": [
        "en:zero-shot learning"
      ]
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  ],
  "word": "zero-shot"
}