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AI agents and LLMs applied to smart grids and 5G/6G networks · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Two recent arXiv papers explore the application of Large Language Models (LLMs) and agentic AI systems in specialized domains. The first paper focuses on smart grids, proposing a solver-grounded design principle to ensure numerical outputs are physically feasible and verified by trusted tools. The second paper surveys the use of LLM-powered agentic AI in 5G and 6G networks, detailing architectures, protocols, and standardization challenges for autonomous network control. AI

IMPACT These papers highlight the growing trend of applying advanced AI techniques to complex infrastructure domains like energy grids and telecommunications.

RANK_REASON Two academic papers published on arXiv detailing novel applications of LLMs and agentic AI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI agents and LLMs applied to smart grids and 5G/6G networks · 2 sources tracked

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Daniela Rojas, Abdulwahab Albassam, Aidan G. Leung, Jett Ngo, Ryan Luo, Peter R. Quawas, Junpyung Kim, Kangkai Liang, Mansi Nanavati, Jonathan Mai, Meng-Chi Tsai, Yun-Tong Tsai, Yize Chen, Yuanyuan Shi ·

    LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications

    arXiv:2607.18147v1 Announce Type: cross Abstract: Large language models (LLMs) and agentic AI systems have evolved from natural language tasks to using external tools to plan, retrieve, and act in technical domains. In smart grids, recent work applies agentic schemes to forecasti…

  2. arXiv cs.AI TIER_1 English(EN) · Mazene Ameur, Abdelkader Mekrache, Bouziane Brik, Adlen Ksentini ·

    LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization

    arXiv:2607.16066v1 Announce Type: cross Abstract: Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation toward autonomous, goal-driven control of Next-Generation Networks (NGNs). Existing surveys treat the two domains in …

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