Feb. 28, 2024, 5:44 a.m. | Majd Saleh, St\'ephane Paquelet

cs.LG updates on arXiv.org arxiv.org

arXiv:2401.03797v2 Announce Type: replace-cross
Abstract: The fields of generative AI and transfer learning have experienced remarkable advancements in recent years especially in the domain of Natural Language Processing (NLP). Transformers have been at the heart of these advancements where the cutting-edge transformer-based Language Models (LMs) have led to new state-of-the-art results in a wide spectrum of applications. While the number of research works involving neural LMs is exponentially increasing, their vast majority are high-level and far from self-contained. Consequently, a …

abstract art arxiv cs.cl cs.lg domain edge fields generative language language models language processing lms natural natural language natural language processing nlp processing results spectrum state transfer transfer learning transformer transformers type

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