Recap of key concepts
Our journey through the world of AI agents started with the building blocks of generative AI. We learned how these systems can create new content, from images to text, using different approaches such as Generative Adversarial Networks (GANs) and autoregressive models. This foundation helped us understand not just how these AI systems work but also their current limitations.
We then explored what makes an AI system agentic – meaning it can act on its own. These systems need three key abilities: they must react to their environment, take initiative to reach goals, and work well with other agents. Think of it like teaching a computer to be both independent and a good team player.
The book then showed us how these agents think and make decisions. They need ways to store knowledge, learn from experience, and plan their actions. Just like humans use their memory and past experiences to make choices, AI agents need similar capabilities to work effectively...
