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Polaris: A Safety-focused LLM Constellation Architecture for Healthcare
March 21, 2024, 4:48 a.m. | Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia
cs.CL updates on arXiv.org arxiv.org
Abstract: We develop Polaris, the first safety-focused LLM constellation for real-time patient-AI healthcare conversations. Unlike prior LLM works in healthcare focusing on tasks like question answering, our work specifically focuses on long multi-turn voice conversations. Our one-trillion parameter constellation system is composed of several multibillion parameter LLMs as co-operative agents: a stateful primary agent that focuses on driving an engaging conversation and several specialist support agents focused on healthcare tasks performed by nurses to increase safety …
abstract ai healthcare architecture arxiv constellation conversations cs.ai cs.cl healthcare llm llms patient prior question question answering real-time safety tasks type voice work
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