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Understanding Agentic AI: From Perception to Action

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  One important development in the field of artificial intelligence (AI) is agentic AI.  It is distinguished by systems that can function, make decisions, and carry out tasks with little assistance from humans.  Agentic AI systems are capable of perceiving their surroundings, reasoning through complex circumstances, and acting independently to accomplish predetermined goals, in contrast to standard AI models that need explicit instructions for every task.  This article explores the fundamental workings, uses, and ramifications of agentic AI, offering a thorough grasp of these systems' operations. Fundamental Processes of Environmental Awareness and Perception in Agentic AI  Initially, agentic AI systems use a variety of sensors and data inputs to perceive their surroundings.  This perception entails combining information from several sensory inputs, using computer vision to analyse visual data, and using natural language processing (NLP) to comprehend lang...