Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Amariucai, Theodor"'
Autor:
Amariucai, Theodor, Warstadt, Alex
In contrast to children, language models (LMs) exhibit considerably inferior data efficiency when acquiring language. In this submission to the BabyLM Challenge (Warstadt et al., 2023), we test the hypothesis that this data efficiency gap is partly c
Externí odkaz:
http://arxiv.org/abs/2402.17936
Publikováno v:
Ustiugov, D, Amariucai, T & Grot, B 2022, Analyzing Tail Latency in Serverless Clouds with STeLLAR . in 2021 IEEE International Symposium on Workload Characterization (IISWC’21) . Institute of Electrical and Electronics Engineers (IEEE), pp. 51-62, 2021 IEEE International Symposium on Workload Characterization, 7/11/21 . https://doi.org/10.1109/IISWC53511.2021.00016
Serverless computing has seen rapid adoption because of its instant scalability, flexible billing model, and economies of scale. In serverless, developers structure their applications as a collection of functions invoked by various events like clicks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91c42c850931a4e42a6cb7135afab770
https://doi.org/10.1109/iiswc53511.2021.00016
https://doi.org/10.1109/iiswc53511.2021.00016
