Welcome to U of T Engineering News

A person standing with mountains and a lake in the background.

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

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

Keep up on the latest Engineering News

Subscribe to our Skulematters newsletter on Linkedin

Latest news

CivE Professor to Advise Governments on Proposed New Mine

Engineering Alumnus Praised for Entrepreneurial Success

U of T Engineering Student Featured on YTV

Blue Sky Solar Racing Team Unveils New Car