U of T ENGINEERING

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‘These opportunities are precious’: How U of T Engineering students are gaining global experience abroad

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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

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U of T’s new tri-campus Minor in Global Leadership features Engineering-led capstone course

March 20, 2023

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From tires to brakes, U of T researchers tackle ‘non-tailpipe’ air pollution from vehicles

March 17, 2023

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How PEY Co-op allows U of T Engineering students to discover their career niche

March 14, 2023

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Professor Yu Sun receives U of T President’s Impact Award

March 10, 2023

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