大模型在专利智能检索中的应用实践研究  

Research on Application of LLMs in Patent Intelligent Retrieval

作　　者：李晓阳[1] LI Xiaoyang(Patent Examination Cooperation(Henan)Center of the Patent Office,CNIPA,Zhengzhou 450046)

机构地区：[1]国家知识产权局专利局专利审查协作河南中心,郑州450046

出　　处：《中国发明与专利》2024年第S02期75-81,共7页China Invention & Patent

摘　　要：大模型技术飞速发展,且已在多个领域成功应用,若应用于专利检索中,大模型强大的自然语言理解和数据处理能力将有助于专利检索流程的自动化和智能化,促进专利检索质量和效率的提升。本文重点探讨了大模型技术在专利检索的申请文件阅读理解以及检索环节中的应用,并结合实际案例展示了具体实践过程,以期提高检索质量与效率。LLMs technology is developing rapidly and has been successfully applied in many fields.When used for patent retrieval,the powerful natural language understanding and data processing ability of LLMs will help to automate and intelligentize the process,and promote the improvement of the quality and efficiency of patent retrieval.This paper focuses on the application of LLMs technology in reading and comprehension of application documents and the retrieval process and demonstrates the specific practice process with cases,to improve the quality and efficiency of retrieval.

关 键 词：大模型 专利检索 技术方案理解 

分 类 号：G306[文化科学]