Textual Intelligence

4Navigating the Generative AI Project Ecosystem with a Focus on Addressing Data Architecture Complexities and Strategic Model Selection for Optimal Outcomes

Mohammad Shabaz¹*, Shanky Goyal², Ismail Keshta³, Mukesh Soni⁴ and Vijay Kumar⁵

¹Model Institute of Engineering and Technology, Jammu, J&K, India

²Department of Computer Science and Engineering, Chandigarh Engineering College, Chandigarh Group of Colleges, Jhanjeri, Punjab, India

³Computer Science and Information Systems Department, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia

⁴Dr. D. Y. Patil Vidyapeeth, Pune, Dr. D. Y. Patil School of Science & Technology, Tathawade, Pune, India

⁵Graphic Era Hill University, Graphic Era Deemed to be University, Dehradun, India

Abstract

This article delves into the generative artificial intelligence (AI) project’s complex ecosystem, with an emphasis on data architecture and model selection for optimal outcomes. Integrating generative AI into diverse academic and commercial domains brings unique challenges and opportunities. Navigating the generative AI project’s environment is critical for success. The data architecture is complicated, so select your models wisely. This study seeks to provide complete guidelines to help manage these areas and ensure project success. Our technique consists of two fundamental components: a detailed data architecture research project for generative artificial intelligence is the first step toward identifying common problems and ...