"zero-shot" meaning in All languages combined

See zero-shot on Wiktionary

Adjective [English]

Etymology: After one-shot learning. Head templates: {{en-adj|-}} zero-shot (not comparable)
  1. (machine learning, attributive) Relating to zero-shot learning; performing without specialized training data. Wikipedia link: en:zero-shot learning Tags: attributive, not-comparable
    Sense id: en-zero-shot-en-adj-r-4RAOvy Categories (other): English entries with incorrect language header, Pages with 1 entry, Pages with entries, Machine learning
{
  "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": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [],
          "source": "w"
        }
      ],
      "examples": [
        {
          "bold_text_offsets": [
            [
              0,
              9
            ]
          ],
          "english": "detection of objects not in training data",
          "text": "zero-shot object detection",
          "type": "example"
        },
        {
          "bold_text_offsets": [
            [
              0,
              9
            ]
          ],
          "english": "translation between two languages without bilingual data",
          "text": "zero-shot translation",
          "type": "example"
        },
        {
          "bold_text_offsets": [
            [
              40,
              49
            ]
          ],
          "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"
        },
        {
          "bold_text_offsets": [
            [
              110,
              119
            ]
          ],
          "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": [
        {
          "bold_text_offsets": [
            [
              0,
              9
            ]
          ],
          "english": "detection of objects not in training data",
          "text": "zero-shot object detection",
          "type": "example"
        },
        {
          "bold_text_offsets": [
            [
              0,
              9
            ]
          ],
          "english": "translation between two languages without bilingual data",
          "text": "zero-shot translation",
          "type": "example"
        },
        {
          "bold_text_offsets": [
            [
              40,
              49
            ]
          ],
          "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"
        },
        {
          "bold_text_offsets": [
            [
              110,
              119
            ]
          ],
          "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"
}

Download raw JSONL data for zero-shot meaning in All languages combined (2.0kB)


This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2025-05-19 from the enwiktionary dump dated 2025-05-01 using wiktextract (c3cc510 and 1d3fdbf). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.