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pro vyhledávání: '"Karayanni, Nader"'
Since the emergence of Large Language Models (LLMs), the challenge of effectively leveraging their potential in healthcare has taken center stage. A critical barrier to using LLMs for extracting insights from unstructured clinical notes lies in the p
Externí odkaz:
http://arxiv.org/abs/2412.02173
The digital era has seen a marked increase in financial fraud. edge ML emerged as a promising solution for smartphone payment services fraud detection, enabling the deployment of ML models directly on edge devices. This approach enables a more person
Externí odkaz:
http://arxiv.org/abs/2401.05219
Autor:
Hao, Wei, Wang, Zixi, Hong, Lauren, Li, Lingxiao, Karayanni, Nader, Mao, Chengzhi, Yang, Junfeng, Cidon, Asaf
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation. However, once the models are deployed, it is hard for ML operators to track their accuracy, which can degrade unpredictably (e.g., due to data
Externí odkaz:
http://arxiv.org/abs/2305.07772