A great learning experience as a facilitator at WiML session on ML4GlobalHealth : issues and opportunities in Resource-Limited Setting. Thanks WiML ICML Conference, #AnnieHartley and Danielle Belgrave for this opportunity
⏰ New state-of-the-art LLM for medicine within 24h of the #Llama3 release
Meet Llama-3[8B] #Meditron : The first fine-tuned Llama3[8B] for medicine!
More here: lnkd.in/e5PRgeZk (updates soon!)
A magnificent all-nighter effort ☕️🍕by the Meditron team EPFL Yale Biomedical Informatics & Data Science
Meditron, the world’s best-performing #LLM for medicine, was featured as an example of open science in the 2024 #ArtificialIntelligence Index Report as an example of open science. #AI Mary-Anne Hartley (Annie)
medicine.yale.edu/news-article/y…
Mary-Anne Hartley (Annie) EPFL Yale Biomedical Informatics & Data Science Good work! Planning to release the tuned models?
Pedram Hosseini EPFL Yale Biomedical Informatics & Data Science @pedramhosseini Give us some time to sleep! 😅 (Definitely will release soon #watchthisspace will update progressively over the next weeks #openfoundationmodelswithwidelyavailableweights )
Mary-Anne Hartley (Annie) EPFL Professor Mary-Anne Hartley (Annie) sensitize the audience: “It is so important to build models that can help doctors, and essential to focus our efforts in areas that absolutely need it”
Mary-Anne Hartley (Annie) EPFL Developing AI for clinical use poses certain problems, devised into 5 categories: humanity, impartiality, independence, neutrality and unity. The need for these 5 characteristics is essential for ensuring correct diagnosis of diseases for a diverse set of populations 👨👧👧👨👨👧👦.