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.

PromptDeck: A No-Code Platform for Modular Prompt Engineering

Bucchiarone A.
;
Cicchetti A.;
2024-01-01

Abstract

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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/250740
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact