Netgpt: A native-ai network architecture beyond provisioning personalized generative services

Y Chen, R Li, Z Zhao, C Peng, J Wu, E Hossain… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have triggered tremendous success to empower daily life by
generative information, and the personalization of LLMs could further contribute to their …

Netgpt: An ai-native network architecture for provisioning beyond personalized generative services

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 …

The age of generative AI and AI-generated everything

H Du, D Niyato, J Kang, Z Xiong, P Zhang, S Cui… - IEEE …, 2024 - ieeexplore.ieee.org
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence,
renowned for its language and image generation capabilities. This paper presents" AI …

Chiplet cloud: Building ai supercomputers for serving large generative language models

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 …

Towards efficient generative large language model serving: A survey from algorithms to systems

X Miao, G Oliaro, Z Zhang, X Cheng, H Jin… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Large generative ai models for telecom: The next big thing?

L Bariah, Q Zhao, H Zou, Y Tian… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

Automated federated pipeline for parameter-efficient fine-tuning of large language models

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 …

Modelscope-agent: Building your customizable agent system with open-source large language models

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 …

Enabling on-device large language model personalization with self-supervised data selection and synthesis

R Qin, J Xia, Z Jia, M Jiang, A Abbasi, P Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Wireless multi-agent generative ai: From connected intelligence to collective intelligence

H Zou, Q Zhao, L Bariah, M Bennis… - arXiv preprint arXiv …, 2023 - arxiv.org
The convergence of generative large language models (LLMs), edge networks, and multi-
agent systems represents a groundbreaking synergy that holds immense promise for future …