No quod sanctus instructior ius, et intellegam interesset duo. Vix cu nibh gubergren dissentias. His velit veniam habemus ne. No doctus neglegentur vituperatoribus est, qui ad ipsum oratio. Ei duo dicant facilisi, qui at harum democritum consetetur.
For the first time, open-source large language models (LLMs) offer a scalable path for secure model training. Real-world medical applications are now within reach—while aligning with data privacy and regulatory requirements in healthcare.
Open-source LLMs, such as those from DeepSeek AI, are now on par with proprietary models like OpenAI’s GPT-4o and GoogleAI’s official Gemini 2.0, enabling rapid clinical decision-making.
Fast-tracked for publication in Nature Medicine: "Benchmark evaluation of DeepSeek large language models in clinical decision-making" Now available to read here: https://lnkd.in/gRpdNMZt
Congratulations to Prof. Dr. Roland Eils and Prof. Dr. Julian Varghese on this outstanding publication and important contribution to the future of medical AI!
Kudos also to the entire author team: Sarah Sandmann, Stefan Hegselmann, Michael Fujarski, Lucas Bickmann, and Benjamin Wild.
