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Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks
April 2, 2024, 7:51 p.m. | Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, Sihyeon Park, Dain Kim, Taewhoo Lee, Chanwoong Yoon, Jiwoong Sohn, Donghee Choi, Jaewoo Kang
cs.CL updates on arXiv.org arxiv.org
Abstract: While recent advancements in commercial large language models (LM) have shown promising results in medical tasks, their closed-source nature poses significant privacy and security concerns, hindering their widespread use in the medical field. Despite efforts to create open-source models, their limited parameters often result in insufficient multi-step reasoning capabilities required for solving complex medical problems. To address this, we introduce Meerkat-7B, a novel medical AI system with 7 billion parameters. Meerkat-7B was trained using our …
abstract arxiv commercial concerns cs.cl language language models large language large language models learn medical medical field nature open-source models parameters privacy privacy and security reasoning results security security concerns skills small small language models tasks type
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