Results 21 to 30 of about 176,171 (277)

Аналіз вразливостей великих мовних моделей

Social Development & Security
Мета роботи: аналіз вразливостей великих мовних моделей (LLM) на основі класифікації OWASP Top 10 для застосунків LLM, проведення оцінки потенційних загроз та розробка рекомендацій щодо підвищення рівня безпеки цих моделей.
Viktor Kolchenko, Dmytro Sabodashko, Mariia Shved, Yuriy Khoma, Nazar Maksymiv   +4 more
doaj   +1 more source

LLM-Vectorizer: LLM-Based Verified Loop Vectorizer

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization
Vectorization is a powerful optimization technique that significantly boosts the performance of high performance computing applications operating on large data arrays. Despite decades of research on auto-vectorization, compilers frequently miss opportunities to vectorize code.
Jubi Taneja, Avery Laird, Cong Yan, Madan Musuvathi, Shuvendu K. Lahiri   +4 more
openaire   +2 more sources

On the generality of the LLM geometries in M-theory

, 2011
In this note we revisit the Lin, Lunin, Maldacena (LLM) class of d=11 supergravity solutions with symmetry SO(6) X SO(3) X R, but generalise to allow for all fluxes consistent with the isometries.
Colgáin, Eoin Ó, Wu, Jun-Bao, Yavartanoo, Hossein   +2 more
core   +1 more source

Particle-hole Asymmetry of Fractional Quantum Hall States in the Second Landau Level of a Two-dimensional Hole System [PDF]

, 2011
We report the first unambiguous observation of a fractional quantum Hall state in the Landau level of a two-dimensional hole sample at the filling factor $\nu=8/3$.
Csathy, G. A., Kumar, A., Manfra, M. J., Pfeiffer, L. N., Samkharadze, N., West, K. W.   +5 more
core   +3 more sources

Generative AI Technologies as a Tool for Counter-Narratives to Russian Propaganda

Медіафорум: аналітика, прогнози, інформаційний менеджмент
This article explores the potential of generative artificial intelligence (AI) technologies as a tool for constructing counter-narratives against russian propaganda in the context of the full-scale war in Ukraine. It examines methodological approaches to
Vasyl Baranets, Ivan Osadtsa
doaj   +1 more source

A Qualitative Analysis of Patient Perspectives and Preferences in Lupus Management to Guide Lupus Guidelines Development

Arthritis Care &Research, EarlyView.
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg, Izzy Hartel, Lisa R. Sammaritano, Anca Askanase, Bonnie L. Bermas, Maria Dall'Era, Alí Duarte‐García, Victoria P. Werth, Brad Rovin, Reem A. Mustafa, Amy S. Turner, Bené Williams, Brian L. Ung, Hiya Bhavsar, Monique C. Gore‐Massy, Nahirannette Pulido, Natacha Guerrero, Natalie M. Smith, Wambui Machua, Linda T. Hiraki, Mary Beth Son   +20 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Evaluation of Quality of Slovak Language Use in LLMS

Acta Electrotechnica et Informatica
This study explores the rapid advancement of Large Language Models (LLMs) and their growing support for languages beyond English. Despite this progress, the LLM ecosystem remains predominantly focused on English, particularly in key areas such as ...
Dobeš Marek
doaj   +1 more source

Evaluating Reasoning in Large Language Models with a Modified Think-a-Number Game: Case Study

Acta Informatica Pragensia
Background: Large language models (LLMs) excel at various tasks but often encounter difficulties when extended reasoning requires maintaining a consistent internal state.
Petr Hoza
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source