Sept. 1, 2023, 10 a.m. | Jesse McCrosky

InfoQ - AI, ML & Data Engineering www.infoq.com

There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life. Factors such as model architecture, transparency and quantization of models are required to decrease carbon emission from AI systems.

By Jesse McCrosky

ai ai models aiops architecture article attention carbon culture & methods emissions energy generative generative ai models life ml & data engineering modern quantization sustainable computing transparency

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA