A Framework for PromptOps in GenAI Application Development Lifecycle

Anonymous

Abstract: The use of "prompts" in the creation process of Generative Artificial Intelligence (GenAI) systems is receiving increasing interest. The significance of these prompts throughout the development cycle, however, is not properly used by current software development lifecycle approaches. This study proposes a unique methodology for integrating timely engineering and management into the creation of GenAI applications. Organizations may benefit from using “PromptOps” to create GenAI applications more quickly, effectively, and securely. It offers a technique to lower the danger of bias, increase the accuracy and dependability of GenAI systems, and decrease the cost of development and implementation. Our platform facilitates the seamless integration of several automated technologies in software development by performing prompt operations (PromptOps). These include Continuous Integration/Continuous Deployment (CI/CD) pipelines, workflows, APIs, and more. Our approach enables developers to easily include automated technologies, leading to a more simplified and efficient process. Furthermore, this study indicates that the framework may enable all stakeholders, including non-engineering units, to convert prompts into services, expanding their use in the building of applications. This study emphasizes the critical significance of prompts in GenAI and shows how their incorporation may improve AI application development, eventually stimulating creativity and driving the adoption of Generative AI technology.

Paper Type: long

Research Area: NLP Applications

Contribution Types: Publicly available software and/or pre-trained models, Theory

Languages Studied: English