Adaptation of enterprise modeling methods for large language models
Conference paper
Barn, B., Barat, S. and Sandkuhl, K. 2023. Adaptation of enterprise modeling methods for large language models. Almeida, J., Kaczmarek-Heß, M., Koschmider, A. and Proper, H. (ed.) 16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling. Vienna, Austria 28 Nov - 01 Dec 2023 Cham Springer. https://doi.org/10.1007/978-3-031-48583-1_1
Type | Conference paper |
---|---|
Title | Adaptation of enterprise modeling methods for large language models |
Authors | Barn, B., Barat, S. and Sandkuhl, K. |
Abstract | Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in engineering disciplines such as Enterprise Modeling also indicate potential for the support of modeling activities. LLMs are fine-tuned for specific tasks using chat based interaction through the use of prompts. This paper aims at a detailed investigation of the potential of LLMs in Enterprise Modeling (EM) by taking the perspective of EM methods adaptation of selected parts of the modeling process within the context of using prompts to interrogate the LLM. The research question addressed is: What adaptations in EM methods have to be made to exploit the potential of prompt based interaction with LLMs? The main contributions are (1) a meta-model for prompt engineering that integrates the concepts of the modeling domain under consideration with the notation of the Modeling language applied and the input and output of prompts, (2) an investigation into the general potential of LLM in EM methods and its application in the 4EM method, and (3) implication for enterprise Modeling methods. |
Keywords | Enterprise Modeling; Large Language Model; ChatGPT |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Conference | 16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling |
Proceedings Title | The Practice of Enterprise Modeling: 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 – December 1, 2023, Proceedings |
Series | Lecture Notes in Business Information Processing |
Editors | Almeida, J., Kaczmarek-Heß, M., Koschmider, A. and Proper, H. |
ISSN | 1865-1348 |
Electronic | 1865-1356 |
ISBN | |
Paperback | 9783031485824 |
Electronic | 9783031485831 |
Publisher | Springer |
Place of publication | Cham |
Publication dates | |
Online | 24 Nov 2023 |
25 Nov 2023 | |
Publication process dates | |
Accepted | 06 Sep 2023 |
Deposited | 22 Jan 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-48583-1_1 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-031-48583-1 |
Language | English |
https://repository.mdx.ac.uk/item/q591q
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