Agentic AI vs Generative AI: Key Differences You Need to Know
Artificial Intelligence (AI) has made significant strides in recent years, with two prominent branches emerging: Agentic AI and Generative AI. While both are subsets of AI, they serve distinct purposes and operate differently. This article delves into the key differences between Agentic AI and Generative AI, their applications, and their implications for professionals seeking certifications like the Certified Agentic AI Expert™, Certified Agentic AI Developer™, or those pursuing an AI Course, Gen AI Course, or Blockchain Certification.
What is Agentic AI?
Agentic AI is an AI system that autonomously makes decisions and performs tasks to achieve specific goals without human intervention. These systems utilize natural language processing, machine learning, and reinforcement learning technologies to analyze data, plan actions, and execute tasks. Unlike traditional AI, which responds to inputs, Agentic AI proactively takes actions to accomplish objectives.
Applications of Agentic AI:
Autonomous Vehicles: Self-driving cars that navigate and make decisions in real time.
Robotic Process Automation (RPA): AI agents handling repetitive tasks in business processes.
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