大语言模型在军队信息服务工作中应用探索

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中图分类号：TP18 文献标志码：A DOI：10.3969/j. issn.1673-3819.2025.05.011

Abstract：The innovativedevelopmentoflarge languagemodels inthefieldofnatural language processing provides newideasfortheapplicationofartificialintellgenceithemilitaryAtpresent，theinformationserviceworkofourarmyiscaried outaccording tothetraditionalserviceconcept，thesubmiteddocumentsarereviewedandscreened before beingpublished. However，theabilityofoffcersandsoldierstotransformmilitaryspecializedcontentintooficialdocumentssuchasnewsand special issuesgenerallyneedstobestrengthenedTisaticleaims toadresstecurrentsituaionbycollctingilitarynews fromopen-source channelsandconstructingadatasetcontainingover 5OO pieces ofimportantinformationand news.Using theChatglm2-6bmodelfromTsinghuaUniversityasthebasemodel，theretrieval-augmentedgenerationmethod isusedto improvethemilitarydomaininformationcognitionabilityofthelargelanguage model，thepromptengineering isusedtooptimizethedocument generationcontaining professionalmilitaryknowledge.Throughmodel evaluationandcaseanalysis，the feasibilityoftheexperimenthasbeenverified，whichcanfurthersupportthegenerationofmilitarytextcontentandimprove theefficiencyofinformationserviceworkin thefuture.

Keywords：large language model；information services；ChatGLM model；retrieval-augmented generation

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