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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Detalles Bibliográficos
Autores principales: Wang, Wanying, Wang, Ge, Marivate, Vukosi, Hufton, Andrew L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382960/
https://www.ncbi.nlm.nih.gov/pubmed/37521049
http://dx.doi.org/10.1016/j.patter.2023.100797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382960/
https://www.ncbi.nlm.nih.gov/pubmed/37521049
http://dx.doi.org/10.1016/j.patter.2023.100797

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