AGENTIC AI: THE POWER OF GENAI AND LLMS IN AUTONOMOUS SYSTEMS

This paper looks at how Artificial Intelligence is changing, with a focus on the main difference between Traditional AI and Agentic AI. Agentic AI, on the other hand, acts on its own, has clear goals, and changes based on its surroundings. Traditional AI, on the other hand, is task-specific and has a narrow focus. We look at how rule-based systems evolved into the complex machine learning and deep learning techniques that make Agentic AI possible. We also look at the typical software design of Agentic AI systems, focusing on how Generative AI and Large Language Models (LLMs) are combined to improve the systems' ability to perceive, reason, and act. This paper shows how Agentic AI could change things and what that means for the future of AI study and applications by using real-life examples and talking about important ideas for development