ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.

• In late summer 2025, a publicly developed large language model (LLM) will be released — co-created by researchers at EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS).
• This LLM will be fully open: This openness is designed to support broad adoption and foster innovation across science, society, and industry.
• A defining feature of the model is its multilingual fluency in over 1,000 languages.

Imagine getting an MRI of your knees and being told you have “mild intrasubstance degeneration of the posterior horn of the medial meniscus.”

Chances are, most of us who didn’t go to medical school are not going to be able to decipher that jargon as anything meaningful or understand what is actionable from that diagnosis. That’s why Stanford radiologists developed a large language model to help address patients’ medical concerns and questions about X-rays, CTs, MRIs, ultrasounds, PET scans, and angiograms.

Using this model, a patient getting a knee MRI could get a more useful and simple explanation: Your knee’s meniscus is a tissue in your knee that serves as a cushion, and, like a pillow, the meniscus has gone a little flat but still can function.

This LLM – dubbed “RadGPT” – can extract concepts from a radiologist’s report to then provide an explanation of that concept and suggest possible follow-up questions. The research was published this month in the Journal of the American College of Radiology.

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