April 2, 2024, 7:43 p.m. | Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Vu Minh Chien, Terry Yue

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.00399v1 Announce Type: cross
Abstract: Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility. Initiatives such as BLOOM and StarCoder aim to democratize access to pretrained models for collaborative community development. However, such existing models face challenges: limited multilingual capabilities, continual pretraining causing catastrophic forgetting, whereas pretraining from scratch is computationally expensive, and compliance with AI safety and development laws. This paper presents Aurora-M, a 15B parameter multilingual open-source model trained on English, …

arxiv aurora cs.ai cs.cl cs.lg executive executive order language language model multilingual multilingual language model open source type

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