Zobrazeno 1 - 10
of 536
pro vyhledávání: '"A, Podstawski"'
Autor:
Besta, Maciej, Kubicek, Ales, Niggli, Roman, Gerstenberger, Robert, Weitzendorf, Lucas, Chi, Mingyuan, Iff, Patrick, Gajda, Joanna, Nyczyk, Piotr, Müller, Jürgen, Niewiadomski, Hubert, Chrapek, Marcin, Podstawski, Michał, Hoefler, Torsten
Retrieval Augmented Generation (RAG) enhances the abilities of Large Language Models (LLMs) by enabling the retrieval of documents into the LLM context to provide more accurate and relevant responses. Existing RAG solutions do not focus on queries th
Externí odkaz:
http://arxiv.org/abs/2406.05085
Autor:
Besta, Maciej, Blach, Nils, Kubicek, Ales, Gerstenberger, Robert, Podstawski, Michal, Gianinazzi, Lukas, Gajda, Joanna, Lehmann, Tomasz, Niewiadomski, Hubert, Nyczyk, Piotr, Hoefler, Torsten
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence 2024 (AAAI'24)
We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT). The key idea and primary advantage of GoT is
Externí odkaz:
http://arxiv.org/abs/2308.09687
Autor:
Besta, Maciej, Gerstenberger, Robert, Fischer, Marc, Podstawski, Michał, Blach, Nils, Egeli, Berke, Mitenkov, Georgy, Chlapek, Wojciech, Michalewicz, Marek, Niewiadomski, Hubert, Müller, Jürgen, Hoefler, Torsten
Publikováno v:
Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2023 (SC '23)
Graph databases (GDBs) are crucial in academic and industry applications. The key challenges in developing GDBs are achieving high performance, scalability, programmability, and portability. To tackle these challenges, we harness established practice
Externí odkaz:
http://arxiv.org/abs/2305.11162
Autor:
Podstawski, Robert1 (AUTHOR) podstawskirobert@gmail.com, Borysławski, Krzysztof2 (AUTHOR) kboryslawski@ans.edu.pl
Publikováno v:
Life (2075-1729). Oct2024, Vol. 14 Issue 10, p1325. 13p.
Autor:
Besta, Maciej, Iff, Patrick, Scheidl, Florian, Osawa, Kazuki, Dryden, Nikoli, Podstawski, Michal, Chen, Tiancheng, Hoefler, Torsten
Publikováno v:
Learning on Graphs (LOG) 2022
Graph databases (GDBs) enable processing and analysis of unstructured, complex, rich, and usually vast graph datasets. Despite the large significance of GDBs in both academia and industry, little effort has been made into integrating them with the pr
Externí odkaz:
http://arxiv.org/abs/2209.09732
Autor:
Besta, Maciej, Miglioli, Cesare, Labini, Paolo Sylos, Tětek, Jakub, Iff, Patrick, Kanakagiri, Raghavendra, Ashkboos, Saleh, Janda, Kacper, Podstawski, Michal, Kwasniewski, Grzegorz, Gleinig, Niels, Vella, Flavio, Mutlu, Onur, Hoefler, Torsten
Publikováno v:
Proceedings of the ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis, November 2022
Important graph mining problems such as Clustering are computationally demanding. To significantly accelerate these problems, we propose ProbGraph: a graph representation that enables simple and fast approximate parallel graph mining with strong theo
Externí odkaz:
http://arxiv.org/abs/2208.11469
Publikováno v:
Life, Vol 14, Iss 10, p 1325 (2024)
Background: To assess changes in the anthropometric and motor characteristics of male and female Polish university students between 1994 and 2024. Methods: The first study was conducted in 1994 on 712 female and 495 male university students aged 19
Externí odkaz:
https://doaj.org/article/72366cf33a294475b52aa8f8a5db585c
Autor:
Ferenc Ihász, Zsolt Katona, Zoltán Alföldi, Attila Szabo, István Barthalos, Robert Podstawski, László Suszter, Kevin J. Finn, László Kerner
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8232 (2024)
Motocross is one of the most popular high-speed motorcycle races, which takes place on a naturally closed track with significant challenges. This study aimed to characterize anthropometric, circulatory, and lower and upper limb muscle properties base
Externí odkaz:
https://doaj.org/article/71dcc6ab348446a1b03d63a1830e44c9
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6146 (2024)
Background: The present study aimed to explore the relationship between COVID-19 and HRmax during maximal exertion; Methods: The study was conducted on 66 male students aged 17.4 to 24.0 years, 50% of whom suffered from COVID-19. Their body compositi
Externí odkaz:
https://doaj.org/article/499d05588ded4d66b8a9e59ae3aea738
Function-as-a-Service (FaaS) is one of the most promising directions for the future of cloud services, and serverless functions have immediately become a new middleware for building scalable and cost-efficient microservices and applications. However,
Externí odkaz:
http://arxiv.org/abs/2012.14132