Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2131
Fulltext available Open Access https://creativecommons.org/licenses/by-nc-sa/4.0/
DC FieldValueLanguage
dc.contributor.authorAtanasoaie, Bogdan-
dc.contributor.authorScholz, Dieter-
dc.date.accessioned2024-12-10T09:19:30Z-
dc.date.available2024-12-10T09:19:30Z-
dc.date.issued2024-09-30-
dc.identifier.urihttps://hdl.handle.net/20.500.12738/16684-
dc.description.abstractChatGPT and other Large Language Models (LLMs) have taken the world by storm. Yet they should be employed only after careful consideration of their inherent risks and capabilities. If we wish to use LLMs, we need to find the tasks they excel at, while prohibiting or contextualizing their use in domains where they produce lackluster results. In order to do this, these domains need to be recognized and categorized, as well as a collection of best practices to be developed.en
dc.language.isoenen_US
dc.subjectLuftfahrten_US
dc.subjectLuftfahrzeugen_US
dc.subjectFlugzeugen_US
dc.subjectOpenAIen_US
dc.subjectKIen_US
dc.subjectLLMen_US
dc.subjectChatGPTen_US
dc.subjectFlugzeugbauen_US
dc.subjectAeronauticsen_US
dc.subjectAirplanesen_US
dc.subjectAircraften_US
dc.subjectDesignen_US
dc.subjectConstructionen_US
dc.subjectAirplanesen_US
dc.subject.ddc620: Ingenieurwissenschaftenen_US
dc.titleAssessing ChatGPT for aeronautical applicationsen
dc.typePosteren_US
dc.relation.conferenceDeutscher Luft- und Raumfahrtkongress 2024en_US
dc.identifier.doi10.48441/4427.2131-
dc.description.versionNonPeerRevieweden_US
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-199955-
tuhh.oai.showtrueen_US
tuhh.publication.instituteForschungsgruppe Flugzeugentwurf und -systeme (AERO)en_US
tuhh.publication.instituteDepartment Fahrzeugtechnik und Flugzeugbauen_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publisher.urlhttps://purl.org/aero/POS2024-09-30g-
tuhh.publisher.urlhttps://publikationen.dglr.de/?tx_dglrpublications_pi1[document_id]=630507-
tuhh.type.opusPoster-
tuhh.type.rdmtrue-
dc.rights.cchttps://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.type.casraiConference Poster-
dc.type.diniOther-
dc.type.driverother-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeImage-
local.comment.externalATANASOAIE, Bogdan, SCHOLZ, Dieter, 2024. Assessing ChatGPT for Aeronautical Applications. Poster. German Aerospace Congress (Hamburg, 30.09. - 02.10.2024). Available from: https://doi.org/10.48441/4427.2131en_US
tuhh.apc.statusfalseen_US
item.creatorGNDAtanasoaie, Bogdan-
item.creatorGNDScholz, Dieter-
item.fulltextWith Fulltext-
item.creatorOrcidAtanasoaie, Bogdan-
item.creatorOrcidScholz, Dieter-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6670-
item.openairetypePoster-
crisitem.author.deptDepartment Fahrzeugtechnik und Flugzeugbau-
crisitem.author.orcid0000-0002-8188-7269-
crisitem.author.parentorgFakultät Technik und Informatik-
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