Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People

arXiv:2403.03640v1 Announce Type: new
Abstract: Despite the vast repository of global medical knowledge predominantly being in English, local languages are crucial for delivering tailored healthcare services, particularly in areas with limited medical resources. To extend the reach of medical AI advancements to a broader population, we aim to develop medical LLMs across the six most widely spoken languages, encompassing a global population of 6.1 billion. This effort culminates in the creation of the ApolloCorpora multilingual medical dataset and the XMedBench …

abstract ai advancements aim apollo arxiv cs.ai cs.cl english global healthcare knowledge languages llms medical medical ai multilingual people population resources services type vast