大语言模型在发明专利创造性判断中的应用

Application of Large Language Models in Assessing Inventive Step in Patent Examination

随着人工智能技术的快速发展,大语言模型已具有高质量的自然语言处理能力和逻辑推理能力。本文通过案例分析,验证了大语言模型在专利审查创造性判断三步法中的有效性,包括确定最接近的现有技术、识别发明的区别特征及其解决的技术问题,以及评估发明的显而易见性。根据大语言模型在上述案例中的表现,探讨了大语言模型在专利审查创造性判断中的优势,认为大语言模型的应用能够提升专利审查的效率与质量,推动审查判断的标准化和客观化。

With the rapid development of artificial intelligence technology,large language models have acquired high-quality natural language processing and logical reasoning capabilities.This paper,through case analysis,validates the effectiveness of large language models in the three-step method for assessing inventive step in patent examination.This includes identifying the closest prior art,recognizing the distinguishing features of the invention and the technical problem it solves,and evaluating the obviousness of the invention.Based on the performance of large language models in the aforementioned cases,the paper explores the advantages of using large language models in assessing inventive step during patent examination.It concludes that the application of large language models can enhance the efficiency and quality of patent examination and promote the standardization and objectivity of patent examination.