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An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source
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Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning

IEEE Journal on Selected Areas in Communications, 2022
Minghao Ye, Yang Hu, Junjie Zhang
exaly  

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