welcome

If you find yourself trying to keep up with a fast-moving AI landscape where new models appear every week, wondering whether you are missing something important or just seeing hype, and trying to figure out how to get real value from these tools, this book is for you. No technical background in machine learning is required, but a general familiarity with tools such as ChatGPT and an interest in how these systems work will help you get the most out of it.

At the center of this shift are large language models, which have quickly moved from research labs into everyday workflows, often producing results that feel surprisingly intelligent. This makes it difficult to separate what these systems appear to do from what they actually do, raising a key question: are they really thinking, or doing something else entirely? And how should that distinction shape the way we use them?

In my own experience working with AI systems, I have seen how easy it is, paradoxical as it sounds, to both overestimate and underestimate what they can do. They can appear highly capable and then fail in simple ways, creating a cycle of excitement and disappointment. Without a clear understanding of why this happens, it becomes difficult to judge when to trust these systems and how to use them effectively. This book is shaped by that experience and aims to provide that clarity.