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pro vyhledávání: '"Shahid, Arsalan"'
This report examines the fine-tuning of Large Language Models (LLMs), integrating theoretical insights with practical applications. It outlines the historical evolution of LLMs from traditional Natural Language Processing (NLP) models to their pivota
Externí odkaz:
http://arxiv.org/abs/2408.13296
Autor:
Shahid, Arsalan, Lewis, Dana M.
Background: This study investigates glucose conditions preceding and following various hypoglycemia levels in individuals with type 1 diabetes using open-source automated insulin delivery (AID) systems. It also seeks to evaluate relationships between
Externí odkaz:
http://arxiv.org/abs/2405.08970
Autor:
Zafar, Ahtsham, Parthasarathy, Venkatesh Balavadhani, Van, Chan Le, Shahid, Saad, khan, Aafaq Iqbal, Shahid, Arsalan
Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy has proven elusive. In this paper, we first introduce LLMXplorer, a com
Externí odkaz:
http://arxiv.org/abs/2308.13534
Autor:
Arthurs, Niamh, Browne, Sarah, Boardman, Rebekah, O'Donnell, Shane, Doyle, Gerardine, Kechadi, Tahar, Shahid, Arsalan, Tully, Louise, O’Malley, Grace
Publikováno v:
In Computational and Structural Biotechnology Journal December 2024 24:507-522
General trends in computer architecture are shifting more towards parallelism. Multicore architectures have proven to be a major step in processor evolution. With the advancement in multicore architecture, researchers are focusing on finding differen
Externí odkaz:
http://arxiv.org/abs/1910.08666
Autor:
Khaleghzadeh, Hamidreza, Fahad, Muhammad, Shahid, Arsalan, Manumachu, Ravi Reddy, Lastovetsky, Alexey
Performance and energy are the two most important objectives for optimisation on modern parallel platforms. Latest research demonstrated the importance of workload distribution as a decision variable in the bi-objective optimisation for performance a
Externí odkaz:
http://arxiv.org/abs/1907.04080
Energy is now a first-class design constraint along with performance in all computing settings. Energy predictive modelling based on performance monitoring counts (PMCs) is the leading method used for prediction of energy consumption during an applic
Externí odkaz:
http://arxiv.org/abs/1907.02805
Autor:
Tufford, Adele R *, Diou, Christos, Lucassen, Desiree A, Ioakimidis, Ioannis, O'Malley, Grace, Alagialoglou, Leonidas, Charmandari, Evangelia, Doyle, Gerardine, Filis, Konstantinos, Kassari, Penio, Kechadi, Tahar, Kilintzis, Vassilis, Kok, Esther, Lekka, Irini, Maglaveras, Nicos, Pagkalos, Ioannis, Papapanagiotou, Vasileios, Sarafis, Ioannis, Shahid, Arsalan, van ’t Veer, Pieter, Delopoulos, Anastasios, Mars, Monica
Publikováno v:
In Current Developments in Nutrition September 2022 6(9)
Publikováno v:
In Journal of Parallel and Distributed Computing May 2021 151:38-51
Autor:
Zafar, Ahtsham, Parthasarathy, Venkatesh Balavadhani, Van, Chan Le, Shahid, Saad, Khan, Aafaq Iqbal, Shahid, Arsalan
Publikováno v:
Big Data & Cognitive Computing; Jun2024, Vol. 8 Issue 6, p70, 27p