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Large Language Model (LLM) Copilot for Front Line Workers

Amrita Mahale of ARMMAN in India, in collaboration with colleagues at ARTPARK also in India, will integrate an LLM-powered co-pilot into an existing learning and support application to improve the training of auxiliary nurses and midwives in India so they can better manage high-risk pregnancies. One woman dies in childbirth every twenty minutes in India. Many maternal and infant deaths could be prevented by improving access to critical care information and ensuring that health workers can detect risk factors and treat complications early on. They will fine-tune ChatGPT, or an open-source equivalent, with their existing content in English and Telugu, using machine translation models to provide personalized answers depending on the individual's training level. The design will be informed by user research studies and the application will be trialed with over 100 community health workers.

More information about Catalyzing Equitable Artificial Intelligence (AI) Use

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