In a world where AI models are evolving from simple responders to intelligent decision-makers, how exactly do autonomous systems “think”? In this session, we’ll unwrap the inner workings of AI agents by exploring how they perceive their environment, reason through complex tasks, and take action toward specific goals.
We’ll break down the key components that make AI agents tick, from memory and planning to feedback and self-improvement, and discover how they differ from traditional machine learning systems. Whether you’re an engineer, innovator, or just curious about the future of AI, this talk will equip you with a clear understanding of how these agents learn, adapt, and operate autonomously.
Expect practical insights, simple explanations, and a touch of festive flair as we explore the magic behind machines that can think and act for themselves.