EMERGİNG PARADİGMS İN AI: COMPARİNG DEEP LEARNİNG, GENERATİVE AI, AGENTİC AI AND TRANSFORMER-BASED ARCHİTECTURES ACROSS DOMAİNS

Abstract

Recent developments in the field of AI, including Deep Learning (DL), Reinforcement Learning (RL), Generative AI (Gen AI), Agentic AI, Explainable AI (XAI), Large Language Models (LLMs), and Large Concept Models (LCMs), holds immense significance across various domains due to their transformative potential. In this survey paper, authors have tried to incorporate significance and applicability of this paradigm of AI in various domains like art generation, text synthesis, healthcare for model interpretability, natural language processing tasks, deployment in autonomous decision- making systems and understanding complex systems. This survey paper will enable reader to explore various technologies and their specific use cases under one umbrella.