Agentic AI systems in the age of generative models: architectures, cloud scalability, and real-world applications

This research proposes a holistic agentic Artificial Intelligence framework that seeks to solve the palpable requirement of autonomy, versatility, and world-scale generative Artificial Intelligence systems. When framing the concept of an agentic Artificial Intelligence as a paradigm shift where Large Language Models are relatively reactive, tool-augmented to a proactive, modular agent that pursues goals in the long term, the research discusses how large language models are becoming an architectural mandate. The proposed research uses a skillful literature synthesis and develops a concept and technical framework that integrates perception, memory, planning, execution, and communication modules. In contrast to…