Intelligent agents with large language model (LLM)-based process automation have the potential to revolutionize virtual assistants by overcoming existing limitations in following multistep instructions and accomplishing complex goals articulated in natural language. A novel approach, dubbed LLMPA, has been proposed, which provides an end-to-end solution for parsing instructions, reasoning about goals, and executing actions. This system has modules for decomposing instructions, generating descriptions, detecting interface elements, predicting next actions, and error checking, optimized for app process automation.
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