Large language models (LLMs) have achieved remarkable success due to their exceptional generative capabilities. Despite their success, they also have inherent limitations such as a …
Solving partial differential equations (PDEs) using a data-driven approach has become increasingly common. The recent development of the operator learning paradigm has …
Z Zhou, J Li, Z Zhang, J Yu, H Duh - International Journal of Human …, 2024 - Taylor & Francis
Advances in artificial intelligence have led to breakthroughs in large language models (LLMs), like ChatGPT, opening up exciting possibilities for conceptual design. However, it's …
J Chen, X Lu, Y Du, M Rejtig, R Bagley… - Proceedings of the CHI …, 2024 - dl.acm.org
Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in …
Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with generative AI enabling automation of text analysis, text generation, and simple decision …
T Liu, T Chen, W Zheng, X Luo, H Zhao - bioRxiv, 2023 - biorxiv.org
Abstract Various Foundation Models (FMs) have been built based on the pre-training and fine-tuning framework to analyze single-cell data with different degrees of success. In this …
Z Wang, J Liu, S Zhang, Y Yang - arXiv preprint arXiv:2406.18122, 2024 - arxiv.org
With the development of natural language processing (NLP), large language models (LLMs) are becoming increasingly popular. LLMs are integrating more into everyday life, raising …
C Jiang, X Pan, G Hong, C Bao, M Yang - arXiv preprint arXiv:2411.14110, 2024 - arxiv.org
While large language models (LLMs) have achieved notable success in generative tasks, they still face limitations, such as lacking up-to-date knowledge and producing …
This micro-article introduces a method for integrating Large Language Models with geometry/mesh generation software and multiphysics solvers, aimed at streamlining physics …