The author aims to democratize medical AI by developing multilingual LLMs to reach a global population of 6.1 billion, enhancing healthcare accessibility.
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。
개발된 Apollo은 61억 인구를 대상으로 하는 최첨단 다국어 의료 LLMs를 제공합니다.
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.