April 23, 2024, 4:49 a.m. | Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.13050v1 Announce Type: new
Abstract: The rapidly evolving field of Robotic Process Automation (RPA) has made significant strides in automating repetitive processes, yet its effectiveness diminishes in scenarios requiring spontaneous or unpredictable tasks demanded by users. This paper introduces a novel approach, FlowMind, leveraging the capabilities of Large Language Models (LLMs) such as Generative Pretrained Transformer (GPT), to address this limitation and create an automatic workflow generation system. In FlowMind, we propose a generic prompt recipe for a lecture that …

abstract arxiv automation capabilities cs.ai cs.cl generative language language models large language large language models llms novel paper process process automation processes robotic robotic process automation rpa tasks type workflow

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