liu.seSearch for publications in DiVA
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The dangers of using proprietary LLMs for research
Centre de Recherche en Économie et de Statistiques (CREST), CNRS, École polytechnique, GENES, ENSAE Paris, Institut Polytechnique de Paris, Palaiseau, France.ORCID iD: 0000-0003-3099-5240
Centre de Recherche en Économie et de Statistiques (CREST), CNRS, École polytechnique, GENES, ENSAE Paris, Institut Polytechnique de Paris, Palaiseau, France; Médialab, Sciences Po, Paris, France.ORCID iD: 0000-0002-5504-6108
Department of Sociology, Utrecht University/ICS, Utrecht, The Netherlands; Centre for Complex Systems Studies, Utrecht University, Utrecht, The Netherlands.ORCID iD: 0000-0003-0800-5271
Centre de Recherche en Économie et de Statistiques (CREST), CNRS, École polytechnique, GENES, ENSAE Paris, Institut Polytechnique de Paris, Palaiseau, France.ORCID iD: 0009-0002-6450-2176
2024 (English)In: Nature Machine Intelligence, E-ISSN 2522-5839, Vol. 6, no 1, p. 4-5Article in journal (Refereed) Published
Abstract [en]

The release of ChatGPT at the end of 2022 thrust large language models (LLMs) into the limelight. By enabling its users to query the model directly in natural language, ChatGPT democratized access to these models — a welcome development. Since then, ChatGPT and similar tools such as Bard, Claude and Bing AI have shown their versatility and efficiency on a wide variety of tasks.
Place, publisher, year, edition, pages
Nature Publishing Group, 2024. Vol. 6, no 1, p. 4-5
Keywords [en]
NLP
National Category
Sociology
Identifiers
URN: urn:nbn:se:liu:diva-202624DOI: 10.1038/s42256-023-00783-6ISI: 001144382100001Scopus ID: 2-s2.0-85182430135OAI: oai:DiVA.org:liu-202624DiVA, id: diva2:1852276
Funder
Swedish Research Council, Mining for Meaning 2018-0517Available from: 2024-04-17 Created: 2024-04-17 Last updated: 2025-03-06Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Ollion, Etienne

Search in DiVA

By author/editor
Ollion, EtienneShen, RubingMacanovic, AnaChatelain, Arnault
Sociology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 176 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.47.0
|
Accessibility
|
DiVA portal
|
DiVA Log in
|
Contact us
|
LiU University Library
|
SwePub
|
Uppsök