Zobrazeno 1 - 10
of 9 931
pro vyhledávání: '"Wertheimer A"'
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Mehrabian, Armin, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Autor:
Wertheimer, Davis, Rosenkranz, Joshua, Parnell, Thomas, Suneja, Sahil, Ranganathan, Pavithra, Ganti, Raghu, Srivatsa, Mudhakar
This technical report describes the design and training of novel speculative decoding draft models, for accelerating the inference speeds of large language models in a production environment. By conditioning draft predictions on both context vectors
Externí odkaz:
http://arxiv.org/abs/2404.19124
Autor:
Wang, Tianshi, Li, Jinyang, Wang, Ruijie, Kara, Denizhan, Liu, Shengzhong, Wertheimer, Davis, Viros-i-Martin, Antoni, Ganti, Raghu, Srivatsa, Mudhakar, Abdelzaher, Tarek
This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things (IoT) applications, such that the generated synthetic data mimic experimental configurations not encounter
Externí odkaz:
http://arxiv.org/abs/2402.02275
Autor:
Avital Wertheimer, Onit Sapir, Alyssa Hochberg, Avi Ben-Haroush, Eran Altman, Tzippy Shochat, Eran Hadar, Yoel Shufaro
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background With the advancement in embryology and the introduction of time-lapse monitoring system, the embryologists' goal might be to find not only the embryo with the highest probability of live birth, but also the embryo with the highest
Externí odkaz:
https://doaj.org/article/f38efad4f31e40388d7d9c9c41fae0f2
Autor:
Wertheimer, Avital1,2 (AUTHOR) avital.wer@gmail.com, Sapir, Onit1,2 (AUTHOR), Hochberg, Alyssa1,2 (AUTHOR), Ben-Haroush, Avi1,2 (AUTHOR), Altman, Eran1,2 (AUTHOR), Shochat, Tzippy1,2 (AUTHOR), Hadar, Eran1,2 (AUTHOR), Shufaro, Yoel1,2 (AUTHOR)
Publikováno v:
BMC Pregnancy & Childbirth. 10/5/2024, Vol. 24 Issue 1, p1-10. 10p.
Autor:
Wiegand PN, Wertheimer AI
Publikováno v:
Pharmacy Practice, Vol 6, Iss 2, Pp 68-73 (2008)
Medication adherence across disease states is generally poor. Research has focused on various methods to improve medication adherence, but there is little conclusive evidence regarding specific methods efficacy. The Transtheoretical Model for Behavio
Externí odkaz:
https://doaj.org/article/12464c79510b4020b8b588db44074429
Publikováno v:
Pharmacy Practice, Vol 5, Iss 1, Pp 31-35 (2007)
United States sales of dietary supplements exceeded $18 billion in 2002, indicating that dietary supplement use is common among the American public. This report describes a survey of academic pharmacists and their use of dietary supplements and herbs
Externí odkaz:
https://doaj.org/article/52113d096b6a45cab0e2e1a46ac61caf
Publikováno v:
Advances in Rehabilitation, Vol 38, Iss 1, Pp 43-51 (2024)
Externí odkaz:
https://doaj.org/article/9d7a57460bb84758b9bfbe3abfa2d060
Autor:
Mohammed Almuzian, Samer Mheissen, Haris Khan, Fahad Alharbi, Emad Eddin Alzoubi, Mark Brian Wertheimer
Publikováno v:
Turkish Journal of Orthodontics, Vol 37, Iss 1, Pp 22-29 (2024)
Objective: To investigate the most common retention practices, factors influencing the retention protocol, and the differences among orthodontists regarding retention practices. Methods: An online validated questionnaire was anonymously sent to 3,000
Externí odkaz:
https://doaj.org/article/9a9b2e9457324f7e94513fd1f4f7d421
Few-shot recognition involves training an image classifier to distinguish novel concepts at test time using few examples (shot). Existing approaches generally assume that the shot number at test time is known in advance. This is not realistic, and th
Externí odkaz:
http://arxiv.org/abs/2207.03398