Reference library
AI Concepts
Complex AI concepts explained for people who need to understand and use them — without needing a PhD in machine learning. Here’s what I wish someone had explained to me the first time I met each of these.
The library
In reading order
How this section works
Every concept covers
- A 30-second version, in plain language
- Why it matters in real systems
- How it actually works
- A concrete example
- Where it fails — the part docs leave out
What it isn’t
Not academic tutorials, and not a rewrite of vendor documentation. These are field notes from building AI systems that had to work — written so that the next person meets each concept with fewer illusions than I did.