Keno Bressem

🦙🩺 Proud to present #medAlpaca: Our latest research in fine-tuning Large Language Models for medical Q&A and dialogue applications. Leveraging 250k+ medical Q&A sets from our newly created dataset, the Medical Meadow. Get the data, models, and code here: github.com/kbressem/medAl…

With AI becoming increasingly crucial in healthcare, we wondered: how do patients feel about its use? To find out, we conducted a massive global survey, gathering insights from 13,806 patients across 74 hospitals in 43 countries as part of the #COMFORTproject.

T5. If you want to understand the transformer architecture better, I recommend "The Illustrated Transformer" by @JayAlammar. jalammar.github.io/illustrated-tr… #RadAIchat

T5. A great resource for learning about BERT and AI in general is @fastdotai by @jeremyphoward. I highly recommend it to anyone starting out in AI (course.fast.ai). #RadAIchat

T4. Keeping BERT models up to date with the latest clinical guidelines and research requires ongoing maintenance and retraining. #RadAIChat