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EPFL's launches new Large Language Model for medical knowledge

Large language models (LLMs) are deep learning algorithms trained on vast amounts of text to learn billions of mathematical relationships between words (also called ‘parameters’). They are familiar to most of us as the algorithmic basis for chatbots like OpenAI’s ChatGPT and PaLM, used for Google’s Bard. Today’s largest models have hundreds of billions of parameters, also costing in the billions of dollars to train. ....

Zeming Chen , Martin Jaggi , Mary Anne Hartley , Google Bard , Javier Elkin , Antoine Bosselut , School Of Computer , Digital Health Program , Communication Sciences , International Committee Of The Red Cross , Yale School Of Medicine , Essentialtech Centre , Natural Language Processing Lab , Optimization Laboratory , Epfl Ai Center , International Committee For The Red Cross , Global Health Technologies , Scaling Medical Pretraining , Large Language , Professor Antoine Bosselut , Principal Investigator , Professor Martin Jaggi , Machine Learning , Yale School , International Committee , Red Cross ,