LLMs (Large Language Models) Explained Series

Hey there! Welcome to the “LLM Explained Series” where we unravel the magic behind Large Language Models (LLMs) — the engines that power AI agents and make them talk, think, and act almost like humans (or at least try to).

Why Are AI Agents So Popular?

AI Agents are all the hype these days. You’ve probably heard about them: clever little applications that do all sorts of tasks for you, like write essays, answer your deepest philosophical questions (sometimes with random but oddly confident nonsense), and help automate parts of your life that you didn’t even realize were automatable. But behind every impressive AI agent lies the true hero: the LLM. So, if you’re curious about how this wizardry actually works, you’re in the right place.

What This Series Is About

This series is for those of us who want to dive deep enough into the world of LLMs to feel confident using them, but maybe don’t want to end up getting a PhD in Computational Mysticism. We’ll break down these models, look at their components, understand how they work (without sweating through research papers), and learn how to use them effectively in your AI projects.

This isn’t about academic dissection — no whiteboards full of scary equations — but more about how you can get your hands dirty with LLMs and make them do amazing things for you, whether you want to be an AI Engineer, Developer, or just impress your friends at parties.

What’s In It for You?

So, what’s in it for you? Well, by the end of this series, you’ll know enough about LLMs to start building AI applications yourself. Think of this as your personal toolkit to kick off your journey into the world of AI engineering. I promise to keep it fun, a bit lighthearted, and as jargon-free as possible. No gatekeeping here, just practical knowledge you can use to dive into the hype!

Stay Tuned!

Oh, and one last thing—I’ll be adding new articles to the list below as we go, like ingredients to a recipe. So, make sure to check back often and stay tuned as we explore this exciting AI landscape together. Let’s do this!

Articles in the Series

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