An AI-Powered Patent Document Generation System Based on Large Language Model

The process of converting scientific research papers into patent documents is crucial for the commercialization of research outcomes. However, this process typically requires specialized knowledge and a significant amount of time. This study presents an AI-powered system designed to automatically generate patent documents from research papers. The system utilizes large language models to generate patent documents. By designing specific prompts and calling APIs, the system can convert research papers into patent documents that meet the requirements. Experimental results show that the patent documents generated by the system have significantly improved in terms of quality and coherence, potentially reducing the time and effort required for manual document preparation.