基于“大模型-子任务”结构的RPA控制器框架

RPA controller framework based on the “large model subtask” structure

RPA控制器是可以展现RPA高层次能力的重要模块,随着大模型和人工智能技术的发展,智能化有望成为衡量RPA控制器性能的重要维度之一。文章参考HuggingGPT等算法结构,提出了基于“大模型-子任务”结构的RPA控制器框架。该框架将子任务库接入大模型,支持任务的智能分解、规划和调度,具备自主决策能力,而且支持更加智能化的展示。

The RPA controller is an important module that can demonstrate the high-level abilities of RPA.With the development of large models and artificial intelligence technology,intelligence is expected to become one of the important dimensions to measure the performance of RPA controllers.This paper proposes an RPA controller framework based on the“large model-subtask”structure,which references algorithms such as HuggingGPT.This framework integrates the subtask library into the large model and supports intelligent task decomposition,task planning and scheduling with autonomous decision-making capabilities.Additionally,this framework supports an intelligent display of assignment result.