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

Page: https://stenobird.com/podcast/twiml-ai-podcast/energy-star-ratings-for-ai-models-with-sasha-luccioni-687
Text version: https://stenobird.com/podcast/twiml-ai-podcast/energy-star-ratings-for-ai-models-with-sasha-luccioni-687.md
Podcast: [The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)](https://stenobird.com/podcast/twiml-ai-podcast)
Published: 2024-06-03T23:47:00+00:00
Episode link: https://twimlai.com/podcast/twimlai/energy-star-ratings-for-ai-models/
Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/MLN5181927287.mp3?updated=1717565807
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JSON: https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/energy-star-ratings-for-ai-models-with-sasha-luccioni-687
Duration seconds: 2906

## Resource

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.

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