Y Chen, R Li, Z Zhao, C Peng, J Wu, E Hossain… - IEEE …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) have triggered tremendous success to empower our daily life by generative information. The personalization of LLMs could further contribute to their …
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents" AI …
H Peng, S Davidson, R Shi, SL Song… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) such as ChatGPT have demonstrated unprecedented capabilities in multiple AI tasks. However, hardware inefficiencies have become a significant …
In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …
The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with …
Z Fang, Z Lin, Z Chen, X Chen, Y Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, there has been a surge in the development of advanced intelligent generative content (AIGC), especially large language models (LLMs). However, for many downstream …
C Li, H Chen, M Yan, W Shen, H Xu, Z Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior. To …
After a large language model (LLM) is deployed on edge devices, it is desirable for these devices to learn from user-generated conversation data to generate user-specific and …
The convergence of generative large language models (LLMs), edge networks, and multi- agent systems represents a groundbreaking synergy that holds immense promise for future …