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pro vyhledávání: '"Nicolae Bogdan"'
Transformers and large language models~(LLMs) have seen rapid adoption in all domains. Their sizes have exploded to hundreds of billions of parameters and keep increasing. Under these circumstances, the training of transformers is very expensive and
Externí odkaz:
http://arxiv.org/abs/2410.21316
Autor:
Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Augustin Boroianu, Nicolae Bogdan, Attila Gal
Publikováno v:
Algorithms, Vol 15, Iss 10, p 357 (2022)
With the increased popularity of social media platforms such as Twitter or Facebook, sentiment analysis (SA) over the microblogging content becomes of crucial importance. The literature reports good results for well-resourced languages such as Englis
Externí odkaz:
https://doaj.org/article/67c8a20396cf463dba85f0149b456246
Transformers and LLMs have seen rapid adoption in all domains. Their sizes have exploded to hundreds of billions of parameters and keep increasing. Under these circumstances, the training of transformers is slow and often takes in the order of weeks
Externí odkaz:
http://arxiv.org/abs/2406.10728
LLMs have seen rapid adoption in all domains. They need to be trained on high-end high-performance computing (HPC) infrastructures and ingest massive amounts of input data. Unsurprisingly, at such a large scale, unexpected events (e.g., failures of c
Externí odkaz:
http://arxiv.org/abs/2406.10707
Autor:
Bouvier, Thomas, Nicolae, Bogdan, Chaugier, Hugo, Costan, Alexandru, Foster, Ian, Antoniu, Gabriel
Deep learning has emerged as a powerful method for extracting valuable information from large volumes of data. However, when new training data arrives continuously (i.e., is not fully available from the beginning), incremental training suffers from c
Externí odkaz:
http://arxiv.org/abs/2406.03285
In situ approaches can accelerate the pace of scientific discoveries by allowing scientists to perform data analysis at simulation time. Current in situ workflow systems, however, face challenges in handling the growing complexity and diverse computa
Externí odkaz:
http://arxiv.org/abs/2404.03591
Network Architecture Search and specifically Regularized Evolution is a common way to refine the structure of a deep learning model.However, little is known about how models empirically evolve over time which has design implications for designing cac
Externí odkaz:
http://arxiv.org/abs/2309.12576
Publikováno v:
In Future Generation Computer Systems November 2024 160:420-432
Autor:
Bouvier, Thomas, Nicolae, Bogdan, Costan, Alexandru, Bicer, Tekin, Foster, Ian, Antoniu, Gabriel
Publikováno v:
In Future Generation Computer Systems January 2025 162
Autor:
Monica eMagureanu, Daniela eDobrin, Nicolae Bogdan Mandache, Bogdan eCojocaru, Vasile I Parvulescu
Publikováno v:
Frontiers in Chemistry, Vol 1 (2013)
The oxidation of toluene in air was investigated using a dielectric barrier discharge (DBD) combined with a Pd/Al2O3 catalyst. When using only plasma, rather low selectivity towards CO2 was obtained: 32-35%. By filling the DBD reactor with Pd/Al2O3 c
Externí odkaz:
https://doaj.org/article/3c37080009724fd8a529a0489f7bbff6