Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2131
Publisher URL: https://purl.org/aero/POS2024-09-30g
https://publikationen.dglr.de/?tx_dglrpublications_pi1[document_id]=630507
Title: Assessing ChatGPT for aeronautical applications
Language: English
Authors: Atanasoaie, Bogdan 
Scholz, Dieter  
Keywords: Luftfahrt; Luftfahrzeug; Flugzeug; OpenAI; KI; LLM; ChatGPT; Flugzeugbau; Aeronautics; Airplanes; Aircraft; Design; Construction; Airplanes
Issue Date: 30-Sep-2024
Conference: Deutscher Luft- und Raumfahrtkongress 2024 
Abstract: 
ChatGPT 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.
URI: https://hdl.handle.net/20.500.12738/16684
DOI: 10.48441/4427.2131
Review status: Currently there is no review planned for this version
Institute: Forschungsgruppe Flugzeugentwurf und -systeme (AERO) 
Department Fahrzeugtechnik und Flugzeugbau 
Fakultät Technik und Informatik 
Type: Poster
Additional note: ATANASOAIE, Bogdan, SCHOLZ, Dieter, 2024. Assessing ChatGPT for Aeronautical Applications. Poster. German Aerospace Congress (Hamburg, 30.09. - 02.10.2024). Available from: https://doi.org/10.48441/4427.2131
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