Agentic AI refers to a subset of artificial intelligence that emphasizes the creation of agents with a high degree of autonomy. These agents are capable of perceiving their environment, making decisions based on their perceptions, and taking actions to achieve specific goals. Unlike traditional AI systems that are designed for specific tasks and operate within well-defined parameters, Agentic AI systems are more versatile and can navigate complex, dynamic environments.

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: An exploration of the technologies and architectural frameworks that support the development of Agentic AI, such as reinforcement learning, deep learning, and cognitive architectures.