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大语言模型在畜牧领域的应用研究进展OA

Research Progress on the Application of Large Language Models in the Livestock Sector

中文摘要英文摘要

近年来,大语言模型的兴起为自然语言处理领域带来重要突破,凭借在知识理解、语义整合与自然语言交互方面的突出能力,正在为智慧畜牧领域提供新的发展路径.本文围绕大语言模型的发展历史和生命科学领域中已有的研究成果展开综述,在梳理大语言模型的基本原理的同时,从知识抽取、异构数据整合、智能交互、技术服务支持和遗传育种分析等方面,总结大语言模型在畜牧领域的应用进展.大语言模型在一定程度上弥补了传统人工智能方法的不足,为畜牧生产管理和遗传育种研究提供了新的研究方向.本文进一步梳理了大语言模型在畜牧领域的应用进展,分析了相关技术的应用以及存在的问题,为后续使用大语言模型构建更加专业化、实用化的智能畜牧应用提供参考.

In recent years,the rapid development of large language models(LLMs)has brought new advances to natural language processing.Owing to their strengths in knowledge understanding,semantic integration,and natural language interaction,LLMs are also creating new possibilities for intelligent livestock farming.This paper reviews the development of LLMs and summarizes related studies in the life sciences.On the basis of introducing the basic principles of LLMs,it further examines their applications in animal science from the perspectives of knowledge extraction,heterogeneous data integration,intelligent interaction,technical service support,and genetic breeding analysis.A review of existing studies in the life sciences shows that LLMs can,to some extent,overcome some limitations of traditional artificial intelligence methods and provide new approaches for livestock production management and genetic breeding research.This paper also summarizes the current progress of LLM applications in the livestock field,discusses related technologies and existing challenges,and aims to provide a reference for developing more specialized and practical intelligent livestock applications in the future.

杨嘉睿;邢凯;王楚端

中国农业大学动物科学技术学院,北京 100193中国农业大学动物科学技术学院,北京 100193中国农业大学动物科学技术学院,北京 100193

农业科技

大语言模型畜牧业信息提取智能问答遗传育种

large language modelsanimal husbandryinformation extractionintelligent question answeringgenetic breeding

《畜牧兽医学报》 2026 (9)

4679-4694,16

国家重点研发计划(2023YFD1300400)财政部和农业农村部:国家现代农业产业技术体系(CAR-35)

10.11843/j.issn.0366-6964.2026.09.002

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