Zobrazeno 1 - 10
of 4 071
pro vyhledávání: '"Gupta, Gaurav A."'
Recent experiment on MoTe$_2$-WTe$_2$ twisted bi-layer demonstrated physics of Kane-Mele (KM) as well as Haldane models. Although topological properties of KM model has been studied extensively, effects of interaction are still less explored beyond h
Externí odkaz:
http://arxiv.org/abs/2410.23221
Autor:
Devkota, Ayush, Gautam, Manakamana, Dhakal, Uttam, Devkota, Suman, Gupta, Gaurav Kumar, Nepal, Ujjwal, Dhuru, Amey Dinesh, Singh, Aniket Kumar
This systematic review examines the synergistic and individual influences of resistance exercise, dietary protein supplementation, and sleep/recovery on muscle protein synthesis (MPS). Electronic databases such as Scopus, Google Scholar, and Web of S
Externí odkaz:
http://arxiv.org/abs/2410.16169
Autor:
Singh, Aditi, Ehtesham, Abul, Gupta, Gaurav Kumar, Chatta, Nikhil Kumar, Kumar, Saket, Khoei, Tala Talaei
In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (LLMs). Emphasizing linguistic principles, we examine various techniques to identify their strengths, weaknesses, oppor
Externí odkaz:
http://arxiv.org/abs/2410.12843
The use of neural networks and deep learning techniques in image processing has significantly advanced the field, enabling highly accurate recognition results. However, achieving high recognition rates often necessitates complex network models, which
Externí odkaz:
http://arxiv.org/abs/2407.14967
Autor:
Karlbauer, Matthias, Maddix, Danielle C., Ansari, Abdul Fatir, Han, Boran, Gupta, Gaurav, Wang, Yuyang, Stuart, Andrew, Mahoney, Michael W.
Remarkable progress in the development of Deep Learning Weather Prediction (DLWP) models positions them to become competitive with traditional numerical weather prediction (NWP) models. Indeed, a wide number of DLWP architectures -- based on various
Externí odkaz:
http://arxiv.org/abs/2407.14129
This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combines chatbot capabilities and generative AI to offer interactive problem
Externí odkaz:
http://arxiv.org/abs/2407.15022
Gene sequence search is a fundamental operation in computational genomics. Due to the petabyte scale of genome archives, most gene search systems now use hashing-based data structures such as Bloom Filters (BF). The state-of-the-art systems such as C
Externí odkaz:
http://arxiv.org/abs/2406.14901
The recent swift development of LLMs like GPT-4, Gemini, and GPT-3.5 offers a transformative opportunity in medicine and healthcare, especially in digital diagnostics. This study evaluates each model diagnostic abilities by interpreting a user sympto
Externí odkaz:
http://arxiv.org/abs/2405.06712
Autor:
Yu, Tao, Gupta, Gaurav, Gopalswamy, Karthick, Mamidala, Amith, Zhou, Hao, Huynh, Jeffrey, Park, Youngsuk, Diamant, Ron, Deoras, Anoop, Huan, Luke
Large models training is plagued by the intense compute cost and limited hardware memory. A practical solution is low-precision representation but is troubled by loss in numerical accuracy and unstable training rendering the model less useful. We arg
Externí odkaz:
http://arxiv.org/abs/2405.03637
Autor:
Fan, Haozheng, Zhou, Hao, Huang, Guangtai, Raman, Parameswaran, Fu, Xinwei, Gupta, Gaurav, Ram, Dhananjay, Wang, Yida, Huan, Jun
Getting large language models (LLMs) to perform well on the downstream tasks requires pre-training over trillions of tokens. This typically demands a large number of powerful computational devices in addition to a stable distributed training framewor
Externí odkaz:
http://arxiv.org/abs/2404.10630