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New Approach for Easily Merging Data Models Brings Adaptable, Multi-Tasking AIs Closer to Reality
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Georgia Tech researchers from the School of Interactive Computing have developed a novel method for merging AI data models. This approach makes creating systems that can adapt and multitask across different domains easier.
The innovation will help to advance self-driving vehicles, chat assistants, and other AI applications. It could lead to more versatile and efficient AI tools.Click to read the full story on the College of Computing website.
Summary
A new artificial intelligence innovation developed by Georgia Tech aims to improve the alignment of specialized data models by combining them to create a single, smarter AI that can perform many kinds of tasks well.
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- Workflow status: Published
- Created by: Ben Snedeker
- Created: 04/18/2025
- Modified By: Ben Snedeker
- Modified: 04/22/2025
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