Agents in AI: My Mid-Flight Discoveries
I recently found myself on a long flight from Amsterdam to Brazil (I’ll share more about that trip in another article). With limited in-flight entertainment and no internet access, I remembered I had saved a fascinating whitepaper from Google about AI “Agents.” Reading it turned out to be the perfect way to make time fly. literally! By the time I landed, I was brimming with excitement about what I’d learned. In this article, I’ll share my key takeaways, highlight the core concepts of AI agents, and explain why they might be the next big thing in the AI world. Why Agents Matter in the Age of LLMs Large Language Models (LLMs), like those from OpenAI and Google, have generated a lot of hype, understandably so. They represent a major leap forward in AI, enabling everything from human-like text generation to complex problem-solving. However, LLMs have some limitations: Cut-Off Training Data: Many LLMs are “frozen” at a certain point in time, so they can’t incorporate brand-new i...