SHF: small: On-device Large Language Model Personalization with Algorithm-Hardware Co-desi — NSF Award to University of Notre Dame
Personalized healthcare that considers individual differences in genetics, lifestyle, and medical history is more effective than one-size-fits-all solutions. This project utilizes advanced wearable and portable devices with large language models (LLMs) to enhance personalized healthcare by addressing the patient variab
| Award title | SHF: small: On-device Large Language Model Personalization with Algorithm-Hardware Co-desi |
|---|---|
| Award ID | 2426639 |
| Awardee | University of Notre Dame |
| City | NOTRE DAME |
| State | IN |
| Amount obligated | $569,268 |
| Principal investigator | Ningyuan Cao |
| Program | Software & Hardware Foundation, AISL |
| Start date | 10/01/2024 |
| Abstract | Personalized healthcare that considers individual differences in genetics, lifestyle, and medical history is more effective than one-size-fits-all solutions. This project utilizes advanced wearable and portable devices with large language models (LLMs) to enhance personalized healthcare by addressing the patient variability often overlooked by current methods. It focuses on real-time healthcare personalization through fast and accurate data searches in ever-growing personal databases, using nove |
| Source | NSF Awards |
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