<ul><li>Agentic AI aims at solving real-world problems by automating tasks and enhancing workflows.</li><li>It involves user input, AI agents, databases, LLMs, and feedback loops for continuous learning and adaptability.</li><li>The flow of Agentic AI includes user input, AI agent processing, databases, action execution, data flywheel, and model customization.</li><li>This architecture ensures autonomy, customization, efficiency, and integration in AI development.</li></ul>

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