Zobrazeno 1 - 10
of 19 746
pro vyhledávání: '"Anokhin, A."'
Autor:
Egiazaryan, GalinaG.1 (AUTHOR), Sudakov, KonstantinV.1 (AUTHOR) ksudakov@mail.ru
Publikováno v:
Journal of the History of the Neurosciences. Jan-Jun2007, Vol. 16 Issue 1/2, p194-205. 12p. 1 Black and White Photograph.
Autor:
Sudakov, Konstantin
Publikováno v:
Integrative Physiological & Behavioral Science. Apr-Jun98, Vol. 33 Issue 2, p171. 5p. 1 Black and White Photograph.
Autor:
Anokhin, Petr, Semenov, Nikita, Sorokin, Artyom, Evseev, Dmitry, Burtsev, Mikhail, Burnaev, Evgeny
Advancements in the capabilities of Large Language Models (LLMs) have created a promising foundation for developing autonomous agents. With the right tools, these agents could learn to solve tasks in new environments by accumulating and updating thei
Externí odkaz:
http://arxiv.org/abs/2407.04363
Autor:
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail
In recent years, the input context sizes of large language models (LLMs) have increased dramatically. However, existing evaluation methods have not kept pace, failing to comprehensively assess the efficiency of models in handling long contexts. To br
Externí odkaz:
http://arxiv.org/abs/2406.10149
Autor:
Beletsky, Serge V.
Publikováno v:
Stratum plus. Археология и культурная антропология / Stratum plus. Archaeology and Cultural Anthropology. (5):311-332
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=707921
Autor:
V. V. Sherstnev
Publikováno v:
Neurochemical Journal. 16:385-388
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d55bf7852a8c14bcfcc2de5da58675d
https://doi.org/10.1134/s1819712422040195
https://doi.org/10.1134/s1819712422040195
Autor:
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail
This paper addresses the challenge of processing long documents using generative transformer models. To evaluate different approaches, we introduce BABILong, a new benchmark designed to assess model capabilities in extracting and processing distribut
Externí odkaz:
http://arxiv.org/abs/2402.10790
We study a toy-model of continuous infinite expansion of space-time with the flat start. We use as the gravitational background a conformaly flat metric with an exponentially growing factor in conformal time. We aim to clarify some properties of quan
Externí odkaz:
http://arxiv.org/abs/2401.12855
Elements of neural networks, both biological and artificial, can be described by their selectivity for specific cognitive features. Understanding these features is important for understanding the inner workings of neural networks. For a living system
Externí odkaz:
http://arxiv.org/abs/2401.10748
Publikováno v:
Analiz Riska Zdorovʹû, Iss 4, Pp 107-118 (2016)
The adverse factors of labor process of migrants were studied as the factors of risk of formation of unsatisfactory adaptation and damage to health. The results of the study of adaptation of migrants to the labor process from the standpoint of the th
Externí odkaz:
https://doaj.org/article/594a3bc2e32a488abedf89e007c877a3