Download this free ebook and discover how to design and deploy powerful goal-driven AI agents.
Agentic AI represents a paradigm shift in artificial intelligence, moving beyond reactive
systems to autonomous entities capable of understanding goals, planning actions, and
executing tasks in dynamic environments. Unlike traditional AI, which primarily
responds to predefined rules or direct human commands, agentic AI systems possess a
higher degree of autonomy, enabling them to make decisions and perform complex
tasks with limited supervision. At its core, agentic AI leverages large language models
(LLMs) as foundational components, providing them with the ability to interpret
natural language inputs, reason, and act. These systems are designed to perceive their
environment, reason about their objectives, plan actions to achieve those objectives,
and execute those actions, often iteratively refining their approach based on feedback
from the environment.
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