Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Liskowski Paweł"'
Autor:
Borchmann, Łukasz, Pietruszka, Michał, Jaśkowski, Wojciech, Jurkiewicz, Dawid, Halama, Piotr, Józiak, Paweł, Garncarek, Łukasz, Liskowski, Paweł, Szyndler, Karolina, Gretkowski, Andrzej, Ołtusek, Julita, Nowakowska, Gabriela, Zawłocki, Artur, Duhr, Łukasz, Dyda, Paweł, Turski, Michał
The vast portion of workloads employing LLMs involves answering questions grounded on PDF or scan content. We introduce the Arctic-TILT achieving accuracy on par with models 1000$\times$ its size on these use cases. It can be fine-tuned and deployed
Externí odkaz:
http://arxiv.org/abs/2408.04632
Autor:
Krawiec Krzysztof, Liskowski Paweł
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 42, Iss 4, Pp 339-358 (2017)
Genetic programming (GP) is a variant of evolutionary algorithm where the entities undergoing simulated evolution are computer programs. A fitness function in GP is usually based on a set of tests, each of which defines the desired output a correct p
Externí odkaz:
https://doaj.org/article/638e03619636485082d59c69127c34dc
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 26, Iss 1, Pp 215-229 (2016)
In test-based problems, solutions produced by search algorithms are typically assessed using average outcomes of interactions with multiple tests. This aggregation leads to information loss, which can render different solutions apparently indifferent
Externí odkaz:
https://doaj.org/article/e01c1c1a70c0450ea10a4f53d04ed00b
Autor:
Toklu, Nihat Engin, Atkinson, Timothy, Micka, Vojtěch, Liskowski, Paweł, Srivastava, Rupesh Kumar
Evolutionary computation is an important component within various fields such as artificial intelligence research, reinforcement learning, robotics, industrial automation and/or optimization, engineering design, etc. Considering the increasing comput
Externí odkaz:
http://arxiv.org/abs/2302.12600
Distribution-based search algorithms are an effective approach for evolutionary reinforcement learning of neural network controllers. In these algorithms, gradients of the total reward with respect to the policy parameters are estimated using a popul
Externí odkaz:
http://arxiv.org/abs/2008.02387
Achieving superhuman playing level by AlphaGo corroborated the capabilities of convolutional neural architectures (CNNs) for capturing complex spatial patterns. This result was to a great extent due to several analogies between Go board states and 2D
Externí odkaz:
http://arxiv.org/abs/1711.06583
Autor:
Liskowski, Paweł1 pliskowski@cs.put.poznan.pl, Krawiec, Krzysztof1 kkrawiec@cs.put.poznan.pl
Publikováno v:
Evolutionary Computation. Fall2017, Vol. 25 Issue 3, p375-406. 32p.
Akademický článek
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Akademický článek
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Autor:
Liskowski, Paweł, Krawiec, Krzysztof
Publikováno v:
Genetic Programming (9783319306674); 2016, p68-82, 15p