Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

Fuente: arXiv

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Bibliographic Details
Main Authors:	Hanke, Vincent, Blanchard, Tom, Boenisch, Franziska, Olatunji, Iyiola Emmanuel, Backes, Michael, Dziedzic, Adam
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2411.05818