Summary:
- Defines Agentic AI as autonomous systems capable of reasoning, planning, and executing complex multi-step tasks to achieve specific goals without constant human intervention.
- Explains the core components of agentic workflows, including perception, decision-making, tool use, and iterative reflection to improve performance.
- Contrasts Agentic AI with traditional Large Language Models (LLMs), highlighting the shift from passive text generation to active, goal-oriented problem solving.