Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Shachaf, P."'
Autor:
Jamba Team, Lenz, Barak, Arazi, Alan, Bergman, Amir, Manevich, Avshalom, Peleg, Barak, Aviram, Ben, Almagor, Chen, Fridman, Clara, Padnos, Dan, Gissin, Daniel, Jannai, Daniel, Muhlgay, Dor, Zimberg, Dor, Gerber, Edden M, Dolev, Elad, Krakovsky, Eran, Safahi, Erez, Schwartz, Erez, Cohen, Gal, Shachaf, Gal, Rozenblum, Haim, Bata, Hofit, Blass, Ido, Magar, Inbal, Dalmedigos, Itay, Osin, Jhonathan, Fadlon, Julie, Rozman, Maria, Danos, Matan, Gokhman, Michael, Zusman, Mor, Gidron, Naama, Ratner, Nir, Gat, Noam, Rozen, Noam, Fried, Oded, Leshno, Ohad, Antverg, Omer, Abend, Omri, Lieber, Opher, Dagan, Or, Cohavi, Orit, Alon, Raz, Belson, Ro'i, Cohen, Roi, Gilad, Rom, Glozman, Roman, Lev, Shahar, Meirom, Shaked, Delbari, Tal, Ness, Tal, Asida, Tomer, Gal, Tom Ben, Braude, Tom, Pumerantz, Uriya, Cohen, Yehoshua, Belinkov, Yonatan, Globerson, Yuval, Levy, Yuval Peleg, Shoham, Yoav
We present Jamba-1.5, new instruction-tuned large language models based on our Jamba architecture. Jamba is a hybrid Transformer-Mamba mixture of experts architecture, providing high throughput and low memory usage across context lengths, while retai
Externí odkaz:
http://arxiv.org/abs/2408.12570
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 3035-3047 (2024)
Weather conditions that can enhance wildfire potential are a problem faced by many countries around the world. Wildfires can have major economic impacts as well as prolonged effects on populations and ecosystems. Distributing information on fire haza
Externí odkaz:
https://doaj.org/article/e6a64504040f405aad4117c5e18cb87f
Autor:
Karpas, Ehud, Abend, Omri, Belinkov, Yonatan, Lenz, Barak, Lieber, Opher, Ratner, Nir, Shoham, Yoav, Bata, Hofit, Levine, Yoav, Leyton-Brown, Kevin, Muhlgay, Dor, Rozen, Noam, Schwartz, Erez, Shachaf, Gal, Shalev-Shwartz, Shai, Shashua, Amnon, Tenenholtz, Moshe
Huge language models (LMs) have ushered in a new era for AI, serving as a gateway to natural-language-based knowledge tasks. Although an essential element of modern AI, LMs are also inherently limited in a number of ways. We discuss these limitations
Externí odkaz:
http://arxiv.org/abs/2205.00445
Dense retrievers for open-domain question answering (ODQA) have been shown to achieve impressive performance by training on large datasets of question-passage pairs. In this work we ask whether this dependence on labeled data can be reduced via unsup
Externí odkaz:
http://arxiv.org/abs/2112.07708
Publikováno v:
2nd International Workshop on Industrial Recommendation Systems @ KDD 2021
Voice assistants provide users a new way of interacting with digital products, allowing them to retrieve information and complete tasks with an increased sense of control and flexibility. Such products are comprised of several machine learning models
Externí odkaz:
http://arxiv.org/abs/2108.11463
Fine-tuning is a common practice in deep learning, achieving excellent generalization results on downstream tasks using relatively little training data. Although widely used in practice, it is lacking strong theoretical understanding. We analyze the
Externí odkaz:
http://arxiv.org/abs/2107.01641
Autor:
Noa Deshe, Yifat Eliezer, Lihi Hoch, Eyal Itskovits, Eduard Bokman, Shachaf Ben-Ezra, Alon Zaslaver
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Experiences have been shown to modulate behavior and physiology of future generations in some contexts, but there is limited evidence for inheritance of associative memory in different species. Here, we trained C. elegans nematodes to associ
Externí odkaz:
https://doaj.org/article/6886d003ada14b67b3b04e11c3672428
Akademický článek
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Autor:
Irit Ayalon-Dangur, Shachaf Ofer-Shiber, Tzippy Shochat, Irina Genin, Maya Arlyuk, Alon Grossman
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Atrial fibrillation (AF) is prevalent in individuals with essential hypertension (HTN). Masked hypertension occurs in up to 15% of the general population and is associated with adverse clinical outcome. The aim of the current study was to ev
Externí odkaz:
https://doaj.org/article/6cb5f84296f343798aaf8e63f677b767
Autor:
Iris Barshack, Ronnie Shapira-Frommer, Kenneth Bloom, Nethanel Asher, Guy Ben-Betzalel, Becky Arbiv, Assaf Debby, Ron Elran, Pinchas Birnbaum, Shai Bookstein, Tal Dankovich, Lena Tsabari, Yuval Shachaf, Yoad Cohen, Amit Bart, Oscar Puig, Ettai Markovits
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/f73b7ded66fc4ddda7909f14ed960342