A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges

MAK Raiaan, MSH Mukta, K Fatema, NM Fahad… - IEEE …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …

Pushing large language models to the 6g edge: Vision, challenges, and opportunities

Z Lin, G Qu, Q Chen, X Chen, Z Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs), which have shown remarkable capabilities, are
revolutionizing AI development and potentially shaping our future. However, given their …

Beyond efficiency: A systematic survey of resource-efficient large language models

G Bai, Z Chai, C Ling, S Wang, J Lu, N Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …

AI-native interconnect framework for integration of large language model technologies in 6G systems

S Tarkoma, R Morabito, J Sauvola - arXiv preprint arXiv:2311.05842, 2023 - arxiv.org
The evolution towards 6G architecture promises a transformative shift in communication
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …

Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, A Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2023 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

When large language model agents meet 6G networks: Perception, grounding, and alignment

M Xu, N Dusit, J Kang, Z Xiong, S Mao, Z Han… - arXiv preprint arXiv …, 2024 - arxiv.org
AI agents based on multimodal large language models (LLMs) are expected to revolutionize
human-computer interaction and offer more personalized assistant services across various …

Large language model enhanced multi-agent systems for 6G communications

F Jiang, L Dong, Y Peng, K Wang, K Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
The rapid development of the Large Language Model (LLM) presents huge opportunities for
6G communications, eg, network optimization and management by allowing users to input …

Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks

M Xu, D Niyato, H Zhang, J Kang, Z Xiong… - arXiv preprint arXiv …, 2024 - arxiv.org
Space-air-ground integrated networks (SAGINs) enable worldwide network coverage
beyond geographical limitations for users to access ubiquitous intelligence services.{\color …

Toward scalable generative ai via mixture of experts in mobile edge networks

J Wang, H Du, D Niyato, J Kang, Z Xiong… - arXiv preprint arXiv …, 2024 - arxiv.org
The advancement of generative artificial intelligence (GAI) has driven revolutionary
applications like ChatGPT. The widespread of these applications relies on the mixture of …

Rt-lm: Uncertainty-aware resource management for real-time inference of language models

Y Li, Z Li, W Yang, C Liu - arXiv preprint arXiv:2309.06619, 2023 - arxiv.org
Recent advancements in language models (LMs) have gained substantial attentions on their
capability to generate human-like responses. Though exhibiting a promising future for …