Duration
Ongoing
Status
In Development
Team
Team
Type
AI/ML
Project Overview
Building a framework to measure energy consumption and carbon footprint of large foundation models.
Detailed Description
This research project focuses on creating tools and methodologies to measure and minimize the environmental impact of training and deploying large AI models.
Key achievements: - Developed energy profiling tools for foundation models - Measured carbon emissions across model training lifecycle - Implemented optimization techniques reducing 40% energy usage - Created sustainability best practices guide
The project promotes responsible AI development by making energy efficiency a key consideration in model deployment decisions.
Challenge
Standardizing energy measurement across different hardware and model architectures.
Solution
Created unified profiling framework compatible with major ML frameworks and hardware platforms.
Technologies & Skills
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