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CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment

Abstract This paper explores the potential of a multidisciplinary approach to testing and aligning artificial intelligence (AI), specifically focusing on large language models (LLMs). Due to the rapid development and wide application of LLMs, challenges such as ethical alignment, controllability, an...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Ljubiša Bojić, Matteo Cinelli, Dubravko Ćulibrk, Boris Delibašić
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: SpringerOpen 2024-08-01
Cyfres:European Journal of Futures Research
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1186/s40309-024-00238-0
Tagiau: Ychwanegu Tag
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