From Generative AI to Agentic AI: When Machines Stop Waiting for Prompts
In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa P…
5 Minutes Podcast with Ricardo Vargas
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Show Notes
In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa Peleja, presented during the O’Reilly Super Stream on Generative AI. Generative AI, based on large language models, responds to prompts and produces text, ideas, and analysis, but it has no initiative, goals, or independent decision-making. AI Agents, on the other hand, are given a goal and can plan tasks, use tools, interact with systems, and execute actions in sequence, with operational autonomy within defined rules. Finally, Agentic AI involves systems of agents working together, with memory, adaptability, and evolving strategies, raising major challenges around governance, ethics, and accountability.
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