PROMISE : a framework for model-driven stateful prompt orchestration

Wu, Wenyuan; Heierli, Jasmin; Meisterhans, Max; Moser, Adrian; Färber, Andri; Dolata, Mateusz; Gavagnin, Elena; de Spindler, Alexandre; Schwabe, Gerhard

doi:10.1007/978-3-031-61000-4_18

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	PROMISE : a framework for model-driven stateful prompt orchestration
Authors:	Wu, Wenyuan Heierli, Jasmin Meisterhans, Max Moser, Adrian Färber, Andri Dolata, Mateusz Gavagnin, Elena de Spindler, Alexandre Schwabe, Gerhard
et. al:	No
DOI:	10.1007/978-3-031-61000-4_18
Proceedings:	Intelligent Information Systems
Editors of the parent work:	Islam, Shareeful Sturm, Arnon
Page(s):	157
Pages to:	165
Conference details:	36th International Conference on Advanced Information Systems Engineering (CAiSE), Limassol, Cyprus, 3-7 June 2024
Issue Date:	29-May-2024
Publisher / Ed. Institution:	Springer
Publisher / Ed. Institution:	Cham
ISBN:	978-3-031-60999-2 978-3-031-61000-4
Language:	English
Subjects:	Framework; Prompt orchestration; Language model
Subject (DDC):	006: Special computer methods 410.285: Computational linguistics
Abstract:	The advent of increasingly powerful language models has raised expectations for conversational interactions. However, controlling these models is a challenge, emphasizing the need to be able to investigate the feasibility and value of their application. We present PROMISE (Available at: https://github.com/zhaw-iwi/promise), a framework that facilitates the development of complex conversational interactions with information systems. Its use of state machine modeling concepts enables model-driven, dynamic prompt orchestration across hierarchically nested states and transitions. This improves the control of language models’ behavior and thus enables their effective and efficient use. We show the applications of PROMISE in health information systems and demonstrate its ability to handle complex interactions.
URI:	https://www.zora.uzh.ch/id/eprint/259993/ https://digitalcollection.zhaw.ch/handle/11475/31093
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Management and Law
Organisational Unit:	Institute of Business Information Technology (IWI)
Appears in collections:	Publikationen School of Management and Law

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Wu, W., Heierli, J., Meisterhans, M., Moser, A., Färber, A., Dolata, M., Gavagnin, E., de Spindler, A., & Schwabe, G. (2024). PROMISE : a framework for model-driven stateful prompt orchestration [Conference paper]. In S. Islam & A. Sturm (Eds.), Intelligent Information Systems (pp. 157–165). Springer. https://doi.org/10.1007/978-3-031-61000-4_18

Wu, W. et al. (2024) ‘PROMISE : a framework for model-driven stateful prompt orchestration’, in S. Islam and A. Sturm (eds) Intelligent Information Systems. Cham: Springer, pp. 157–165. Available at: https://doi.org/10.1007/978-3-031-61000-4_18.

W. Wu et al., “PROMISE : a framework for model-driven stateful prompt orchestration,” in Intelligent Information Systems, May 2024, pp. 157–165. doi: 10.1007/978-3-031-61000-4_18.

WU, Wenyuan, Jasmin HEIERLI, Max MEISTERHANS, Adrian MOSER, Andri FÄRBER, Mateusz DOLATA, Elena GAVAGNIN, Alexandre DE SPINDLER und Gerhard SCHWABE, 2024. PROMISE : a framework for model-driven stateful prompt orchestration. In: Shareeful ISLAM und Arnon STURM (Hrsg.), Intelligent Information Systems [online]. Conference paper. Cham: Springer. 29 Mai 2024. S. 157–165. ISBN 978-3-031-60999-2. Verfügbar unter: https://www.zora.uzh.ch/id/eprint/259993/

Wu, Wenyuan, Jasmin Heierli, Max Meisterhans, Adrian Moser, Andri Färber, Mateusz Dolata, Elena Gavagnin, Alexandre de Spindler, and Gerhard Schwabe. 2024. “PROMISE : A Framework for Model-Driven Stateful Prompt Orchestration.” Conference paper. In Intelligent Information Systems, edited by Shareeful Islam and Arnon Sturm, 157–65. Cham: Springer. https://doi.org/10.1007/978-3-031-61000-4_18.

Wu, Wenyuan, et al. “PROMISE : A Framework for Model-Driven Stateful Prompt Orchestration.” Intelligent Information Systems, edited by Shareeful Islam and Arnon Sturm, Springer, 2024, pp. 157–65, https://doi.org/10.1007/978-3-031-61000-4_18.