AI Explained
Plain-English breakdowns of AI concepts - models, tokens, training, and how the everyday tools you use actually work under the hood.
Why Your AI Chat "Forgets" Things: Tokens and Context Windows Explained
Your AI assistant hasn't stopped listening - it simply ran out of space. A no-jargon look at tokens and context windows, plus three habits that work around the ceiling.
Supervised vs. Unsupervised Learning: Where the Line Actually Falls
Two fundamentally different ways an AI model can learn from data - one needs labeled examples handed to it, the other has to find its own structure. Here's the plain-terms version of what splits them apart.
AI, Machine Learning, Deep Learning: Untangling What Separates Them
These three phrases get tossed around as if they're interchangeable, but they actually describe three nested, distinct ideas. Here's a clear-eyed look at what each one means and how they fit together.
What Is a Large Language Model? A Plain-English Explanation
Skip the jargon and the equations - here's what a large language model is, how it picked up the ability to write, and what that word "large" is actually referring to.
Neural Networks, No Math Required: How Machines Spot Patterns
What a neural network actually is, laid out through everyday comparisons instead of formulas - and why the whole trick comes down to "layers."
What Actually Happens the Moment You Send an AI Prompt
From your keystrokes to the words appearing on screen - a step-by-step look at everything that happens between hitting "send" and an AI chat tool answering back.