What is Agentic AI? There are multiple answers to this question, not surprisingly since we’re still in the early stages of this complex technology. Wikipedia emphasizes the autonomous nature of agentic AI in its definition: Agentic AI is “a class of artificial intelligence that focuses on autonomous systems that can make decisions and perform tasks without human intervention.”
McKinsey noted that AI is now “moving from thought to action” in a July, 2024 report that explained the difference between generative and agentic AI. “We are beginning an evolution from knowledge-based, gen-AI-powered tools — say, chatbots that answer questions and generate content — to gen AI-enabled agents that use foundation models to execute complex, multistep workflows across a digital world. … Gen AI agents eventually could act as skilled virtual coworkers, working with humans in a seamless and natural manner.”
Similarly, IBM answers the question “What is Agentic AI” by writing: “Agentic systems provide the flexibility of LLMs, which can generate responses or actions based on nuanced, context-dependent understanding, with the structured, deterministic and reliable features of traditional programming. This approach allows agents to think and do in a more human-like fashion.”
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