U of T ENGINEERING

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liquid injection pattern

Inspired by nature, temperature-responsive building facades could help reduce energy use from heating and cooling

Large Language Models (LLMs) have high electricity and water consumption due to the resource requirements of serving them to millions of users. This footprint can be reduced using methods developed by Professor Samin Aref (MIE) and his team, which produce smaller LLMs through quantizing their parameters. (image generated by ChatGPT)

How ‘slimmed-down’ large language models can reduce AI’s environmental and energy footprint

Farah Ghizzawi

How a passion for sustainable transportation brought this graduate student from Beirut to Toronto

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ILead certificate students

U of T Engineering Launches Academic Certificate in Engineering Leadership

February 12, 2014

Dean's Town Hall 2014

Students, Faculty and Staff Come Together for Dean’s Town Hall

February 11, 2014

David Mravyan and Professor Milos Popovic.

U of T Engineer Seeks To Solve the Sitting Dilemma

February 7, 2014

Baher Abdulhai and his team

Connaught Fund Supports Six U of T Engineers for Society-Changing Research

February 6, 2014

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