Generative AI models are increasingly being brought to healthcare settings — in some cases prematurely, perhaps. Early adopters believe that they’ll unlock increased efficiency while revealing insights that’d otherwise be missed. Critics, meanwhile, point out that these models have flaws and biases that could contribute to worse health outcomes.
But is there a quantitative way to know how helpful, or harmful, a model might be when tasked with things like summarizing patient records or answering health-related questions?
Hugging Face, the AI startup, proposes a solution in a newly released benchmark test called Open Medical-LLM. Created in partnership with researchers …
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