Skip to content
TrackPodcasts
technologyJun 3, 202448:26pending

Energy Star Ratings for AI Models with Sasha Luccioni - #687

Get every episode summarized

Each time The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

About this episode

Today, we're joined by Sasha Luccioni, AI and Climate lead at Hugging Face, to discuss the environmental impact of AI models. We dig into her recent research into the relative energy consumption of general purpose pre-trained models vs. task-specific, non-generative models for common AI tasks. We discuss the implications of the significant difference in efficiency and power consumption between the two types of models. Finally, we explore the complexities of energy efficiency and performance benchmarking, and talk through Sasha’s recent initiative, Energy Star Ratings for AI Models, a rating system designed to help AI users select and deploy models based on their energy efficiency. The complete show notes for this episode can be found at http://twimlai.com/go/687.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Energy Star Ratings for AI Models with Sasha Luccioni - #687

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

0:00
48:26

More episodes

More from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

View all episodes →