A plain-language explanation of artificial intelligence, what it can do, where you encounter it, and what it still cannot reliably do.

Follow a simple example from data collection through training, testing, and prediction to understand how modern AI systems learn patterns.

Understand the relationship between artificial intelligence, machine learning, and deep learning with clear examples and a simple comparison.

Learn how generative AI produces new content, what it is useful for, and why its output still needs human checking.

A beginner-friendly guide to tokens, training, context, and why a fluent language model is not a verified source of facts.

See what happens between typing a prompt and receiving an answer, including context, tools, and the limits of a chatbot response.