Zobrazeno 1 - 10
of 3 058
pro vyhledávání: '"Salem Ahmed"'
Publikováno v:
International Journal of Islamic Economics and Finance, Vol 6, Iss 2, Pp 281-312 (2023)
This study aims to examine in depth the role of the government in stabilizing, allocating and distributing nation-wealth by minimizing monopoly from Islamic economics views as well as contemporary legal practices. The research method used is phenomen
Externí odkaz:
https://doaj.org/article/2a8062aa4a3c49ff8d9745f9be65890d
Publikováno v:
International Journal of Medical Arts, Vol 4, Iss 10, Pp 2725-2733 (2022)
Background: Among the cytokines and inflammatory markers, Interleukin 6 [IL6] and TNF α are the most common markers in the practice of medicine. Many studies determine the values of these two markers among the patients with chronic lymphocytic leuke
Externí odkaz:
https://doaj.org/article/b5bf5761ef71462fa6d8341982e32bf2
Autor:
Ameen Abdulaziz Basabaeen, Enaam Abdelrhman Abdelgader, Ebtihal Ahmed Babekir, Nour Mahmoud Abdelateif, Sadia Osman Abdelrahim, Osama Ali Altayeb, Eman Abbass Fadul, Hussam Ali Osman, Salem Ahmed Bamusa, Ibrahim Khider Ibrahim
Publikováno v:
Asian Pacific Journal of Cancer Care, Vol 7, Iss 3, Pp 467-474 (2022)
Objective: Our study aimed to characterize clinical, hematological and Immunophenotyping patterns in Sudanese patients with Chronic Lymphocytic Leukemia. Methods: A cross-sectional study was conducted in Khartoum state, Sudan, during the period from
Externí odkaz:
https://doaj.org/article/47579f529218484ba22b6569912216b6
The increasing cost of training machine learning (ML) models has led to the inclusion of new parties to the training pipeline, such as users who contribute training data and companies that provide computing resources. This involvement of such new par
Externí odkaz:
http://arxiv.org/abs/2408.00129
Autor:
Zhang, Boyang, Tan, Yicong, Shen, Yun, Salem, Ahmed, Backes, Michael, Zannettou, Savvas, Zhang, Yang
Recently, autonomous agents built on large language models (LLMs) have experienced significant development and are being deployed in real-world applications. These agents can extend the base LLM's capabilities in multiple ways. For example, a well-bu
Externí odkaz:
http://arxiv.org/abs/2407.20859
Autor:
Russinovich, Mark, Salem, Ahmed
Amid growing concerns over the ease of theft and misuse of Large Language Models (LLMs), the need for fingerprinting models has increased. Fingerprinting, in this context, means that the model owner can link a given model to their original version, t
Externí odkaz:
http://arxiv.org/abs/2407.10887
Open-source large language models (LLMs) have become increasingly popular among both the general public and industry, as they can be customized, fine-tuned, and freely used. However, some open-source LLMs require approval before usage, which has led
Externí odkaz:
http://arxiv.org/abs/2407.03160
Autor:
Debenedetti, Edoardo, Rando, Javier, Paleka, Daniel, Florin, Silaghi Fineas, Albastroiu, Dragos, Cohen, Niv, Lemberg, Yuval, Ghosh, Reshmi, Wen, Rui, Salem, Ahmed, Cherubin, Giovanni, Zanella-Beguelin, Santiago, Schmid, Robin, Klemm, Victor, Miki, Takahiro, Li, Chenhao, Kraft, Stefan, Fritz, Mario, Tramèr, Florian, Abdelnabi, Sahar, Schönherr, Lea
Large language model systems face important security risks from maliciously crafted messages that aim to overwrite the system's original instructions or leak private data. To study this problem, we organized a capture-the-flag competition at IEEE SaT
Externí odkaz:
http://arxiv.org/abs/2406.07954
Autor:
Abdelnabi, Sahar, Fay, Aideen, Cherubin, Giovanni, Salem, Ahmed, Fritz, Mario, Paverd, Andrew
Large Language Models (LLMs) are routinely used in retrieval-augmented applications to orchestrate tasks and process inputs from users and other sources. These inputs, even in a single LLM interaction, can come from a variety of sources, of varying t
Externí odkaz:
http://arxiv.org/abs/2406.00799
Large Language Models (LLMs) have risen significantly in popularity and are increasingly being adopted across multiple applications. These LLMs are heavily aligned to resist engaging in illegal or unethical topics as a means to avoid contributing to
Externí odkaz:
http://arxiv.org/abs/2404.01833