April 24, 2024, 4:42 a.m. | Elijah Pelofske, Vincent Urias, Lorie M. Liebrock

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.14680v1 Announce Type: cross
Abstract: The task of accurate and efficient language translation is an extremely important information processing task. Machine learning enabled and automated translation that is accurate and fast is often a large topic of interest in the machine learning and data science communities. In this study, we examine using local Generative Pretrained Transformer (GPT) models to perform automated zero shot black-box, sentence wise, multi-natural-language translation into English text. We benchmark 16 different open-source GPT models, with no …

abstract arxiv automated communities cs.ai cs.cl cs.lg data data science english generative information language language translation machine machine learning machine learning and data science machine translation processing science study transformers translation type

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