VentureBeat June 13, 2024
Taryn Plumb

Google Gemini is just 6 months old, but it has already shown impressive capabilities across security, coding, debugging and other areas (of course, it has exhibited serious limitations, too).

Now, the large language model (LLM) is outperforming humans when it comes to sleep and fitness advice.

Researchers at Google have introduced the Personal Health Large Language Model (PH-LLM), a version of Gemini fine-tuned to understand and reason on time-series personal health data from wearables such as smartwatches and heart rate monitors. In their experiments, the model answered questions and made predictions noticeably better than experts with years of experience in the health and fitness fields.

“Our work…employs generative AI to expand model utility from only predicting health...

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