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 |
Appears in Collections: | Publications with full text |
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File | Description | Size | Format | |
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AERO_POS_DLRK2024_ChatGPTforAeronauticalEngineering_2024-09-30.pdf | 580.7 kB | Adobe PDF | View/Open |
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