On the transparency of large AI models

On the transparency of large AI models

Scientists using or developing large AI models face special challenges when trying to publish their work in an open and reproducible manner. In this editorial, our journal shares some tips to help researchers in this field understand our current policies and prepare submissions that are as transpare...

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Veröffentlicht in:Patterns (New York, N.Y.) N.Y.), 2023-07, Vol.4 (7), p.100797-100797, Article 100797
Hauptverfasser: Wang, Wanying, Wang, Ge, Marivate, Vukosi, Hufton, Andrew L.
Format: Artikel
Sprache:eng
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Zusammenfassung:Scientists using or developing large AI models face special challenges when trying to publish their work in an open and reproducible manner. In this editorial, our journal shares some tips to help researchers in this field understand our current policies and prepare submissions that are as transparent as possible.
ISSN:2666-3899
2666-3899
DOI:10.1016/j.patter.2023.100797