Agentic AI, also known as autonomous agents, refers to systems that can perform tasks or make decisions independently, with minimal human intervention. These systems are designed to perceive their environment, reason about it, and take actions to achieve specific goals. Key characteristics include adaptability, learning from experience, and the ability to operate in dynamic environments. Common use cases for agentic AI include robotics, autonomous vehicles, and virtual personal assistants, where the ability to make real-time decisions is crucial. As technology advances, the potential applications for agentic AI continue to expand across various industries.
A/B testing compares two versions of a product to optimize performance and improve user engagement.
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AI Fundamentals