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When we started building a safety-focused LLM for healthcare a year back, a result like this was beyond imagination. We are excited to share some of the technical and a lot of the clinical considerations that went into building #Polaris in our 53-page technical report available now in ArXiv.
To give the key highlights:
1. Polaris is the first safety-focused LLM for healthcare geared for real-time patient-AI voice conversations.
2. Polaris is a 1T+ parameter constellation system composed of several 70B-100B parameter LLMs trained as co-operative agents: a stateful primary agent driving an engaging conversation and several specialist agents focused on tasks performed by nurses to increase safety and reduce hallucinations.
3. Polaris performs on par with U.S. licensed human nurses on aggregate across dimensions such as medical safety, clinical readiness, conversational quality, patient education, and bedside manner.
4. For the Phase 2 testing, we recruited 1100 U.S. licensed nurses and 130 U.S. licensed doctors for end-to-end conversational evaluation— the most extensive evaluation performed to date for any healthcare LLM.
And yes, #Polaris enables #Rachel to have those amazing conversations you heard in the demos.
Paper: arxiv.org/pdf/2403.13313…
Blog: hippocraticai.com/research/polar…
#GenerativeAI #healthcare @hippocraticai #GTC24
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