Posted on May 22nd, 2026 by Fahad Pinto How ‘slimmed-down’ large language models can reduce AI’s environmental and energy footprint U of T Engineering researchers examine ways to make the use of language models more resource efficient by replacing their high-precision parameters with low-precision ones
