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NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
March 12, 2024, 4:44 a.m. | Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, Honggang Zhang
cs.LG updates on arXiv.org arxiv.org
Abstract: 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 applications due to better alignment with human intents. Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed communication and computing resources. In this article, we put forward NetGPT to capably synergize appropriate LLMs at the edge and the cloud based …
abstract alignment applications architecture arxiv beyond cloud collaborative cs.lg daily edge generative human information language language models large language large language models life llms methodology network network architecture personalization personalized services success type
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