Zobrazeno 1 - 10
of 785
pro vyhledávání: '"Umapathi, P."'
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-17 (2024)
Abstract Human Machine Interfaces and biomedical prosthetics are advancing rapidly, merging human and machine capabilities. These innovations offer tremendous benefits, but the effectiveness of implantable medical devices (IMDs) hinges on the reliabi
Externí odkaz:
https://doaj.org/article/b45050cdbe164e01ae0aad4fed6340f4
This research paper focuses on the challenges posed by hallucinations in large language models (LLMs), particularly in the context of the medical domain. Hallucination, wherein these models generate plausible yet unverified or incorrect information,
Externí odkaz:
http://arxiv.org/abs/2307.15343
Autor:
Li, Raymond, Allal, Loubna Ben, Zi, Yangtian, Muennighoff, Niklas, Kocetkov, Denis, Mou, Chenghao, Marone, Marc, Akiki, Christopher, Li, Jia, Chim, Jenny, Liu, Qian, Zheltonozhskii, Evgenii, Zhuo, Terry Yue, Wang, Thomas, Dehaene, Olivier, Davaadorj, Mishig, Lamy-Poirier, Joel, Monteiro, João, Shliazhko, Oleh, Gontier, Nicolas, Meade, Nicholas, Zebaze, Armel, Yee, Ming-Ho, Umapathi, Logesh Kumar, Zhu, Jian, Lipkin, Benjamin, Oblokulov, Muhtasham, Wang, Zhiruo, Murthy, Rudra, Stillerman, Jason, Patel, Siva Sankalp, Abulkhanov, Dmitry, Zocca, Marco, Dey, Manan, Zhang, Zhihan, Fahmy, Nour, Bhattacharyya, Urvashi, Yu, Wenhao, Singh, Swayam, Luccioni, Sasha, Villegas, Paulo, Kunakov, Maxim, Zhdanov, Fedor, Romero, Manuel, Lee, Tony, Timor, Nadav, Ding, Jennifer, Schlesinger, Claire, Schoelkopf, Hailey, Ebert, Jan, Dao, Tri, Mishra, Mayank, Gu, Alex, Robinson, Jennifer, Anderson, Carolyn Jane, Dolan-Gavitt, Brendan, Contractor, Danish, Reddy, Siva, Fried, Daniel, Bahdanau, Dzmitry, Jernite, Yacine, Ferrandis, Carlos Muñoz, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context length, infilling capabilitie
Externí odkaz:
http://arxiv.org/abs/2305.06161
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 17, Iss 2, Pp 107-121 (2024)
The shock wave boundary layer interaction (SWBLI) due to curved shock is studied prominently, as most military aircrafts and missiles undergo strong SWTBLI due to its curved or blunt shape. These interactions effect the performance of vehicles at sup
Externí odkaz:
https://doaj.org/article/abada65341754532b4b6e061138a0700
Autor:
Allal, Loubna Ben, Li, Raymond, Kocetkov, Denis, Mou, Chenghao, Akiki, Christopher, Ferrandis, Carlos Munoz, Muennighoff, Niklas, Mishra, Mayank, Gu, Alex, Dey, Manan, Umapathi, Logesh Kumar, Anderson, Carolyn Jane, Zi, Yangtian, Poirier, Joel Lamy, Schoelkopf, Hailey, Troshin, Sergey, Abulkhanov, Dmitry, Romero, Manuel, Lappert, Michael, De Toni, Francesco, del Río, Bernardo García, Liu, Qian, Bose, Shamik, Bhattacharyya, Urvashi, Zhuo, Terry Yue, Yu, Ian, Villegas, Paulo, Zocca, Marco, Mangrulkar, Sourab, Lansky, David, Nguyen, Huu, Contractor, Danish, Villa, Luis, Li, Jia, Bahdanau, Dzmitry, Jernite, Yacine, Hughes, Sean, Fried, Daniel, Guha, Arjun, de Vries, Harm, von Werra, Leandro
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the collaboration until December 2022, outlining the current state of the Per
Externí odkaz:
http://arxiv.org/abs/2301.03988
Publikováno v:
Journal of Pediatrics: Clinical Practice, Vol 14, Iss , Pp 200125- (2024)
Externí odkaz:
https://doaj.org/article/445d960e4c114745bd9ca157de0fb7b8
Publikováno v:
Cleaner Engineering and Technology, Vol 23, Iss , Pp 100837- (2024)
Production of gloves is a highly energy-intensive and process-driven industry. It demands a significant amount of electrical as well as thermal energy. This paper presents the results and recommendations devised from an enquiry based onsite energy au
Externí odkaz:
https://doaj.org/article/15a9cde755ad4a2b8ed22cc9c9f9478f
Autor:
Sivakumar Dheenadhayalan, Ramasamy Rathinam, Thiagarajan Yamuna Rangaiya, Thirumalairaj Brindha, Krishnamoorthy Umapathi, Haque Siddiqui Md Irfanul, Lakshmaiya Natrayan, Kumar Abhinav, Shah Mohd Asif
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 102822-70 (2024)
Externí odkaz:
https://doaj.org/article/0245738b73b64a80a6b5981e4e9523a4
Reliable outlier detection is critical for real-world deployment of deep learning models. Although extensively studied, likelihoods produced by deep generative models have been largely dismissed as being impractical for outlier detection. First, deep
Externí odkaz:
http://arxiv.org/abs/2208.13579
Publikováno v:
ACM Conference on Health, Inference, and Learning (CHIL) 2022
This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. More than 194k high-quality AIIMS \& NEET PG entrance exam MCQs covering 2.4k healthca
Externí odkaz:
http://arxiv.org/abs/2203.14371