U of T Engineering News

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 ...
InfoWorld

What is model quantization? Smaller, faster LLMs

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
Mayo Clinic

Foundations of Large Language Models in Medical Research

Foundations of Large Language Models in Medical Research. The Foundations of Large Language Models in Medical Research course lays the foundation for understanding how generative ...
SiliconANGLE

Meta debuts slimmed-down Llama models for low-powered devices

Meta Platforms Inc. is striving to make its popular open-source large language models more accessible with the release of “quantized” versions of the Llama 3.2 1B and Llama 3B models, designed to run ...
Geeky Gadgets

How Unsloth Makes Fine-Tuning LLMs a Breeze to Boost AI Performance

Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...
MIT Technology Review

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...