Agentic AI refers to artificial intelligence systems designed to operate autonomously, making decisions and taking actions without direct human intervention. Unlike passive AI, which relies on user input to perform tasks, agentic AI can identify objectives, strategize, and execute plans to achieve goals. This type of AI is often employed in areas like robotics, autonomous vehicles, and intelligent personal assistants. It leverages advanced machine learning, natural language processing, and real-time decision-making algorithms to adapt and function independently in dynamic environments.
With its potential to transform industries, agentic AI raises questions about ethical guidelines, safety protocols, and the extent of control over these intelligent agents. Understanding agentic AI is crucial as we navigate its implications for society and future technological development.
If you want to learn more about it and how it can impact software testing, watch my latest video.
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