Results 11 to 20 of about 81,815 (304)

LLM magnons [PDF]

Journal of High Energy Physics, 2016
We consider excitations of LLM geometries described by coloring the LLM plane with concentric black rings. Certain closed string excitations are localized at the edges of these rings. The string theory predictions for the energies of magnon excitations of these strings depends on the radii of the edges of the rings.
de Mello Koch, R., Mathwin, C., Van Zyl, H.J.R.   +2 more
openaire   +2 more sources

Exciting LLM geometries [PDF]

Journal of High Energy Physics, 2018
AbstractWe study excitations of LLM geometries. These geometries arise from the backreaction of a condensate of giant gravitons. Excitations of the condensed branes are open strings, which give rise to an emergent Yang-Mills theory at low energy. We study the dynamics of the planar limit of these emergent gauge theories, accumulating evidence that they
Robert de Mello Koch, Jia-Hui Huang, Laila Tribelhorn   +2 more
openaire   +4 more sources

Fomin-Greene monoids and Pieri operations [PDF]

, 2013
We explore monoids generated by operators on certain infinite partial orders. Our starting point is the work of Fomin and Greene on monoids satisfying the relations $(\u{r}+\u{r+1})\u{r+1}\u{r}=\u{r+1}\u{r}(\u{r}+\u{r+1})$ and $\u{r}\u{t}=\u{s}\u{r}$ if $
Benedetti, Carolina, Bergeron, Nantel
core   +1 more source

Exploring Alternative Microservice Decompositions using Data-driven Techniques and LLMs

CLEI Electronic Journal
The problem of migrating monolithic applications to microservices has become popular both in industry and academia, particularly when using automated tools to assist developers in the decomposition.
Ana Martínez Saucedo, J. Andres Diaz-Pace, Hernán Astudillo, Guillermo Rodriguez   +3 more
doaj   +1 more source

Large Language Models and Privacy in the Corporate Context

European Journal of Privacy Law & Technologies
The rapid development of Large Language Models (LLMs), such as GPT-3 and GPT-4, has transformed corporate functions, yet their integration raises critical privacy concerns.
Guendalina Capece, Lucilla Gatt, Vittoria Bonino   +2 more
doaj   +1 more source

ACE16K: The Third Generation of Mixed-Signal SIMD-CNN ACE Chips Toward VSoCs [PDF]

, 2004
Today, with 0.18-μm technologies mature and stable enough for mixed-signal design with a large variety of CMOS compatible optical sensors available and with 0.09-μm technologies knocking at the door of designers, we can face the design of integrated ...
Carmona Galán, Ricardo, Carranza González, Luis, Domínguez Castro, Rafael, Espejo Meana, Servando Carlos, Jiménez Garrido, Francisco José, Liñán Cembrano, Gustavo, Roca Moreno, Elisenda, Rodríguez Vázquez, Ángel Benito   +7 more
core   +1 more source

PARAMETER EFFICIENT FINE-TUNING AND OVERFITTING IN GPT LARGE LANGUAGE MODELS: A METRIC-BASED COMPARISON

Електроніка та інформаційні технології
Background. Building upon previous research, this study conducts an exploration into Large Language Models (LLMs), with an emphasis on the fine-tuning and assessment of LLaMA-3.1 for instructional tasks. LLaMA-3.1, which is a new generation model and has
Bohdan Pavlyshenko, Ivan Bulka
doaj   +1 more source

LLMs + Persona-Plug = Personalized LLMs

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Personalization plays a critical role in numerous language tasks and applications, since users with the same requirements may prefer diverse outputs based on their individual interests. This has led to the development of various personalized approaches aimed at adapting large language models (LLMs) to generate customized outputs aligned with user ...
Liu, Jiongnan, Zhu, Yutao, Wang, Shuting, Wei, Xiaochi, Min, Erxue, Lu, Yu, Wang, Shuaiqiang, Yin, Dawei, Dou, Zhicheng   +8 more
openaire   +2 more sources

Machine Learning or Human Education? Thoughts and Data on Artificial Intelligence and the Labor Market: Economic Sociological Aspects of Career Orientation.

Fogyatékosság és Társadalom
The economic trends reviewed in this paper will play a prominent role in the labor market of the near future with the exponential growth of the uptake of artificial intelligence applications.
Keszi, Roland
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