See large language model on Wiktionary
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"ref": "2022 April 15, Steven Johnson, “A.I. Is Mastering Language. Should We Trust What It Says?”, in The New York Times, →ISSN:",
"text": "GPT-3 belongs to a category of deep learning known as a large language model, a complex neural net that has been trained on a titanic data set of text: in GPT-3’s case, roughly 700 gigabytes of data drawn from across the web, including Wikipedia, supplemented with a large collection of text from digitized books. GPT-3 is the most celebrated of the large language models, and the most publicly available, but Google, Meta (formerly known as Facebook) and DeepMind have all developed their own L.L.M.s in recent years.",
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"ref": "2023, Mohak Agarwal, Generative AI for Entrepreneurs in a Hurry, Notion Press, →ISBN:",
"text": "GPT-2 is a large language model with 1.5 billion parameters, trained on a dataset of 8 million web pages scraped from the internet.",
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"ref": "2023 May 20, John Naughton, “When the tech boys start asking for new regulations, you know something’s up”, in The Observer, →ISSN:",
"text": "Less charitable observers (like this columnist) see two alternative interpretations. One is that it’s an attempt to consolidate OpenAI’s lead over the rest of the industry in large language models (LLMs), because history suggests that regulation often enhances dominance.",
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"sense": "Translations",
"word": "大型语言模型"
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"word": "Large Language Model"
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"word": "großes Sprachmodell"
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Download raw JSONL data for large language model meaning in All languages combined (3.5kB)
This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-11-06 from the enwiktionary dump dated 2024-10-02 using wiktextract (fbeafe8 and 7f03c9b). 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.