Zobrazeno 1 - 10
of 17 740
pro vyhledávání: '"Seddik, A."'
Autor:
Elhachimi, Rachid, El Ouardirhi, Sanae
Publikováno v:
Expressions maghrébines (Project Muse); December 2024, Vol. 23 Issue: 2 p33-55, 23p
Autor:
Hmmam, Ibrahim1 (AUTHOR) amr.ali@agr.cu.edu.eg, Ali, Amr E. M.1 (AUTHOR) nagwahamdy5@yahoo.com, Saleh, Samir M.2 (AUTHOR) samir.saleh@arc.sci.eg, Khedr, Nagwa1 (AUTHOR) abdo.abdullatif@agr.cu.edu.eg, Abdellatif, Abdou1 (AUTHOR)
Publikováno v:
Agronomy. Jun2022, Vol. 12 Issue 6, p1369. 14p.
Autor:
Firdoussi, Aymane El, Seddik, Mohamed El Amine, Hayou, Soufiane, Alami, Reda, Alzubaidi, Ahmed, Hacid, Hakim
Synthetic data has gained attention for training large language models, but poor-quality data can harm performance (see, e.g., Shumailov et al. (2023); Seddik et al. (2024)). A potential solution is data pruning, which retains only high-quality data
Externí odkaz:
http://arxiv.org/abs/2410.08942
Autor:
بوسالم أبوبكر1 aboussalem@cu-elbayadh.de, بلجازية عمر2 beldjazia.omar18@gmail.com, تبوب يوسف3 tebboubyoucef@gmail.com
Publikováno v:
Beam Journal of Economic Studies. 2022, Vol. 6 Issue 1, p12-25. 14p.
Publikováno v:
Agronomy, Vol 12, Iss 6, p 1369 (2022)
Salicylic acid (SA) was sprayed on “Seddik” mango transplants at concentrations of 0, 0.5, 1, and 1.5 mM. Then, the mango transplants were subjected to 72 h of chilling stress at 4 ± 1 °C, followed by a six-day recovery under greenhouse conditi
Externí odkaz:
https://doaj.org/article/5c277abb2fb343cbb3ef3fdcf115ca0f
Autor:
فوزية مقراش1 ziyamekkrache@yahoo.com, فيروز مصلح الضمو2 fairouz_aldhmur@yahoo.com
Publikováno v:
Economic & Managerial Researshes. 2021, Vol. 15 Issue 2, p59-77. 19p.
Autor:
Pomaranski, David, Ito, Ryo, Tu, Ngoc Han, Ludwig, Arne, Wieck, Andreas D., Takada, Shintaro, Kaneko, Nobu-Hisa, Ouacel, Seddik, Bauerle, Christopher, Yamamoto, Michihisa
Standard approaches to quantum computing require significant overhead to correct for errors. The hardware size for conventional quantum processors in solids often increases linearly with the number of physical qubits, such as for transmon qubits in s
Externí odkaz:
http://arxiv.org/abs/2410.16244
In this paper, we introduce a method for fine-tuning Large Language Models (LLMs), inspired by Multi-Task learning in a federated manner. Our approach leverages the structure of each client's model and enables a learning scheme that considers other c
Externí odkaz:
http://arxiv.org/abs/2410.15524
Autor:
Hellström, Benjamin, Sultan, Leila
Water stress is increasing globally, especially affecting arid regions of the world such as Egypt. Due to challenges related to intensifying effects of climate change and a rapidly growing population, the levels of and access to water is a continuous
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-40934
Autor:
Alami, Reda, Almansoori, Ali Khalifa, Alzubaidi, Ahmed, Seddik, Mohamed El Amine, Farooq, Mugariya, Hacid, Hakim
We demonstrate that preference optimization methods can effectively enhance LLM safety. Applying various alignment techniques to the Falcon 11B model using safety datasets, we achieve a significant boost in global safety score (from $57.64\%$ to $99.
Externí odkaz:
http://arxiv.org/abs/2409.07772