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https://en.wikipedia.org/wiki/Artificial_intelligence

The Rise of Agentic AI

Artificial intelligence has evolved significantly over the past decade. From simple rule-based systems to generative models capable of creating art and code, the landscape is constantly shifting.

The next frontier is Agentic AI. These are systems designed not just to respond to inputs, but to actively perceive their environment, reason about it, and take actions to achieve specific goals.

Unlike traditional chatbots, agents can use tools, browse the web, and interact with software APIs. This capability allows them to function as autonomous assistants, capable of handling complex workflows with minimal human intervention.

For example, an agentic coding assistant could not only suggest code snippets but also run tests, debug errors, and deploy applications. In the realm of research, an agent could synthesize information from multiple sources to generate comprehensive reports.

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