Agentic AI refers to artificial intelligence systems capable of autonomous action and decision-making to achieve specific goals. Unlike traditional AI that passively executes programmed instructions, agentic AI systems can perceive their environment, plan, and execute tasks without explicit human guidance. They often use techniques like reinforcement learning, planning algorithms, and large language models to reason, adapt, and interact with the world. They are commonly used in applications like autonomous vehicles, robotics, personalized recommendations, and automated customer service, where the AI needs to make independent decisions and take actions to achieve a desired outcome.
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