Agentic AI

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Definition

AI systems that can autonomously plan, make decisions, and take actions to achieve goals, often using multiple tools and iterating based on feedback. Unlike simple chatbots, agentic AI can break down complex tasks, use external tools (APIs, databases), and adapt its strategy. Examples include autonomous research assistants and coding agents.

Why "Agentic AI" Matters in AI

Understanding agentic ai is essential for anyone working with artificial intelligence tools and technologies. As a core concept in Large Language Models, agentic ai directly impacts how AI systems like ChatGPT, Claude, and Gemini process and generate text. Whether you're a developer, business leader, or AI enthusiast, grasping this concept will help you make better decisions when selecting and using AI tools.

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Frequently Asked Questions

What is Agentic AI?

AI systems that can autonomously plan, make decisions, and take actions to achieve goals, often using multiple tools and iterating based on feedback. Unlike simple chatbots, agentic AI can break down ...

Why is Agentic AI important in AI?

Agentic AI is a advanced concept in the llm domain. Understanding it helps practitioners and users work more effectively with AI systems, make informed tool choices, and stay current with industry developments.

How can I learn more about Agentic AI?

Start with our AI Fundamentals course, explore related terms in our glossary, and stay updated with the latest developments in our AI News section.