Agentic AI refers to systems that act independently, pursuing goals with minimal human oversight, exhibiting traits like autonomy, proactivity, adaptability, reasoning, and goal-oriented behavior.
Unlike traditional AI, Agentic AI is proactive, adaptable, and can reason through complex tasks, bridging the gap from reactive to proactive intelligence.
Agentic AI systems are built on four key components: perception, reasoning, planning, and action, enabling them to sense, think, strategize, and act effectively.
The roots of Agentic AI trace back to the evolution of AI through key milestones, combining symbolic logic, neural networks, and RL to create transformative systems that adapt and reason effectively.