The dangers of using proprietary LLMs for research

Etienne Ollion; Rubing Shen; Ana Macanovic; Arnault Chatelain

doi:10.1038/s42256-023-00783-6

The dangers of using proprietary LLMs for research

Etienne Ollion^*, Rubing Shen, Ana Macanovic, Arnault Chatelain

^*Corresponding author for this work

Research output: Contribution to journal › Letter › Academic › peer-review

Original language	English
Pages (from-to)	4-5
Number of pages	2
Journal	Nature Machine Intelligence
Volume	6
Issue number	1
Early online date	Jan 2024
DOIs	https://doi.org/10.1038/s42256-023-00783-6
Publication status	Published - Jan 2024

Funding

Funders	Funder number
Agence Nationale de la Recherche	ANR-19-P3IA-0001
Vetenskapsrådet	Mining for Meaning 2018-0517

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10.1038/s42256-023-00783-6

s42256-023-00783-6Final published version, 711 KBLicence: Taverne

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The dangers of using proprietary LLMs for research

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