Research
Read how they describe their research on their University of Toronto profile.
Latest funding
- $250,000
A closed-loop system for collaborative and continual development of large language models
ONTARIO · 2025 · Principal investigator
- $250,000
A closed-loop system for collaborative and continual development of large language models
CFI · 2025 · Principal investigator
- $1,400,000
An End-to-End Approach to Safe and Secure AI Systems
NSERC · 2023 · Co-investigator
No publications available.
A closed-loop system for collaborative and continual development of large language models
Principal investigators: Raffel, Colin
Keywords: decentralized machine learning,large language models,deep learning,natural language processing,artificial intelligence
A closed-loop system for collaborative and continual development of large language models
Principal investigators: Raffel, Colin
Keywords: decentralized machine learning,large language models,deep learning,natural language processing,artificial intelligence learning on consumer hardware,heterogeneous compute for machine learning
An End-to-End Approach to Safe and Secure AI Systems
Principal investigators: Lie, David DJ
Keywords: artificial intelligence; fairness; safety; security
From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.
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Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.