"zero-shot" meaning in All languages combined

{
  "etymology_text": "After one-shot learning.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "zero-shot (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [
            "Artificial intelligence",
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
            "Technology",
            "All topics",
            "Mathematics",
            "Systems",
            "Fundamental",
            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        }
      ],
      "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, →ISBN, 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": "quote"
        },
        {
          "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": "quote"
        }
      ],
      "glosses": [
        "Relating to zero-shot learning; performing without specialized training data."
      ],
      "id": "en-zero-shot-en-adj-r-4RAOvy",
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "zero-shot learning",
          "zero-shot learning"
        ],
        [
          "training",
          "training"
        ],
        [
          "data",
          "data"
        ]
      ],
      "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"
}

{
  "etymology_text": "After one-shot learning.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "zero-shot (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "senses": [
    {
      "categories": [
        "English adjectives",
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English terms with quotations",
        "English terms with usage examples",
        "English uncomparable adjectives",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Machine learning"
      ],
      "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, →ISBN, 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": "quote"
        },
        {
          "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": "quote"
        }
      ],
      "glosses": [
        "Relating to zero-shot learning; performing without specialized training data."
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ],
        [
          "zero-shot learning",
          "zero-shot learning"
        ],
        [
          "training",
          "training"
        ],
        [
          "data",
          "data"
        ]
      ],
      "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"
}