PDLLMs:A group of tailored DNA large language models for analyzing plant genomes  

作　　者：Guanqing Liu Long Chen Yuechao Wu Yangshuo Han Yu Bao Tao Zhang 

机构地区：[1]Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Zhongshan Biological Breeding Laboratory/Key Laboratory of Plant Functional Genomics of the Ministry of Education,Agricultural College of Yangzhou University,Yangzhou 225009,China [2]Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Jiangsu Key Laboratory of Crop Genetics and Physiology,Yangzhou University,Yangzhou 225009,China [3]Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation,Integrative Science Center of Germplasm Creation in Western China(Chongqing)Science City,School of Life Sciences,Southwest University,Chongqing 400715,China

出　　处：《Molecular Plant》2025年第2期175-178,共4页分子植物(英文版)

基　　金：supported by the National Natural Science Foundation of China(grant no.32270585);the Key R&D Program of Jiangsu Province(Modern Agriculture)(BE2022335);the Project of Zhongshan Biological Breeding Laboratory(BM2022008-02);the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)to T.Z.

摘　　要：Dear Editor,Over the past 2 years,large language models(LLMs)have witnessed a notable achievement in the realms of artificial intelli-gence-generated content.These advanced artificial intelligence-generated content systems are powered by state-of-the-art deep learning algorithms,which undergo training on vast amounts of data and possess the ability to comprehend extensive volumes of complex text.Recently,more and more LLMs have been developed and applied to a diverse range of tasks,such as inter-active chat,auto-generated drawings,and even biological research(Kaddour et al.,2023).

关 键 词：LANGUAGE SUCH artificial 

分 类 号：H31[语言文字—英语]