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PromptDeck: A No-Code Platform for Modular Prompt Engineering
Fdn Bruno Kessler, Trento, Italy..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Univ Trento, Trento, Italy. Mälardalen Univ, IDT, Västerås, Sweden..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
Fdn Bruno Kessler, Trento, Italy..
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2024 (English)In: ACM/IEEE 27TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS: COMPANION PROCEEDINGS, MODELS 2024, ASSOC COMPUTING MACHINERY , 2024, p. 895-904Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a no-code platform for modular prompt engineering, designed to democratize access to generative AI for non-developers. By integrating advanced technologies such as Node.js, Express, MongoDB, and Azure OpenAI services, the platform provides a robust and flexible environment for creating and managing AI-driven tasks. The intuitive frontend, built with React and TypeScript, enables users with minimal coding expertise to design, execute, and evaluate complex AI workflows. A key feature of the platform is its extensible plugin system, which allows users to easily incorporate additional functionalities to meet their specific needs. This no-code approach empowers a broader audience to harness the power of generative AI, fostering innovation and enabling diverse applications across various fields. By lowering the technical barriers, the platform paves the way for widespread adoption of AI technologies, driving the future of AI-enhanced solutions.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2024. p. 895-904
Keywords [en]
Low-Code Development Platforms, No-Code, Generative AI, Prompt Engineering, Modularization
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:mdh:diva-69430DOI: 10.1145/3652620.3688336ISI: 001351589800122ISBN: 979-8-4007-0622-6 (print)OAI: oai:DiVA.org:mdh-69430DiVA, id: diva2:1920101
Conference
ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (MODELS), SEP 22-27, 2024, Linz, AUSTRIA
Available from: 2024-12-10 Created: 2024-12-10 Last updated: 2024-12-10Bibliographically approved

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Cicchetti, Antonio

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