
This research proposes a novel approach to scale medical LLMs to 50 languages by leveraging a Mixture of Language Family Experts within a Post-MoE architecture, effectively addressing the challenge of data scarcity in low-resource languages and democratizing access to medical information globally.


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democratizing-access-to-medical-information-scaling-multilingual-medical-llms-to-50-languages-using-a-mixture-of-language-family-experts


Democratizing Access to Medical Information: Scaling Multilingual Medical LLMs to 50 Languages Using a Mixture of Language Family Experts


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개발된 Apollo은 61억 인구를 대상으로 하는 최첨단 다국어 의료 LLMs를 제공합니다.


apollo-lightweight-multilingual-medical-llms-for-democratizing-medical-ai


Apollo: Lightweight Multilingual Medical LLMs for Democratizing Medical AI



医療AIの民主化を目指すための軽量多言語医療LLMの開発とその効果的な利用方法に焦点を当てる。


apollo-lightweight-multilingual-medical-llms-for-democratizing-healthcare-ai


Apollo: Lightweight Multilingual Medical LLMs for Democratizing Healthcare AI



The author aims to democratize medical AI by developing multilingual LLMs to reach a global population of 6.1 billion, enhancing healthcare accessibility.


apollo-democratizing-multilingual-medical-llms-for-global-healthcare


Apollo: Democratizing Multilingual Medical LLMs for Global Healthcare
