Relations (1)

cross_type 2.00 — strongly supporting 3 facts

McGill University is linked to Large Language Models through the research and presentations of its faculty, such as Danilo Bzdok and Jackie Cheung, at the 'Understanding LLM Understanding' summer school [1], [2]. Furthermore, researchers at McGill and MILA have actively applied these models to analyze clinical health records for medical diagnostics [3].

Facts (3)

Sources
Understanding LLM Understanding skywritingspress.ca Skywritings Press 3 facts
claimJackie Cheung from McGill University presented on methods for evaluating the capabilities of Large Language Models at the 'Understanding LLM Understanding' summer school.
claimDanilo Bzdok from McGill University presented on the use of Large Language Models as aids in medical diagnosis at the 'Understanding LLM Understanding' summer school.
procedureResearchers at McGill and MILA used deep learning to interpret clinician thinking by pre-training on hundreds of millions of general sentences and applying large language models to over 4,000 free-form health records to distinguish confirmed from suspected autism cases.