June 7, 2024, 4:43 a.m. | Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.03712v1 Announce Type: cross
Abstract: Large language models (LLMs), such as GPT series models, have received substantial attention due to their impressive capabilities for generating and understanding human-level language. More recently, LLMs have emerged as an innovative and powerful adjunct in the medical field, transforming traditional practices and heralding a new era of enhanced healthcare services. This survey provides a comprehensive overview of Medical Large Language Models (Med-LLMs), outlining their evolution from general to the medical-specific domain (i.e, Technology and …

abstract application arxiv attention capabilities cs.cl cs.lg future gpt human language language models large language large language models llms medical medical field practices series survey technology type understanding

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