Agentic AI represents a significant advancement over traditional AI systems like chatbots, RPA, and simple RAG, characterized by its ability to remember context, plan multi-step tasks, dynamically use tools, self-improve through feedback loops, collaborate in multi-agent teams, and operate with human oversight. Unlike simple chatbots that merely answer questions, Agentic AI can break down complex goals into smaller tasks, schedule and use tools dynamically, and continuously improve through mechanisms like ReACT and Reflexion, making it capable of handling unpredictable scenarios and executing sophisticated workflows autonomously.
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