Given I’m betting the next phase on my career on it, I figured I should probably know.
Alas, solving problems with AI isn’t as simple as asking ChatGPT for the answer. Sure, it might be right — or it might be confidently wrong, or just behave weirdly.
I need a first-principles understanding: being able to break down complex problem into their fundamental elements. But first-principles thinking only works if you understand the fundamentals - How AI works.
That’s why I’ve written part 1 of my AI Implementation Guide — “First Principles.” It explains the AI basics necessary for business implementation:
🧩 The core components of large language models and image generation
🤖 How these models work and how they’re trained
⚠️ Uses, pitfalls, and why it can behave strangely
(And surprisingly, the amount of magic involved is non-zero 🪄🎩)
If you're interested in implementing AI, fascinated by fundamentals, or just want to see token generation explained with ASCII art. This guide is for you.
This guide has been a huge learning experience for me, and I’d love to improve it further with your feedback. Please share any questions, critiques, or comments 🧠.