Foundations
Before you can use AI effectively, you need the right mental model of what it is and how it works. This section covers the core vocabulary and concepts — what AI, ML, and LLMs actually mean, how language models process your input, and why they sometimes get things wrong.
In This Section
AI vs ML vs Deep Learning vs GenAI
Untangle the four terms everyone uses interchangeably — and why the distinctions actually matter.
What is an LLM
How large language models are trained, what they are actually doing when they respond, and what they cannot do.
Tokens, Context & Parameters
The three numbers that govern every LLM interaction — and what they mean for your prompts and costs.
Hallucinations & Failure Modes
Why AI confidently produces wrong answers, and the patterns to watch for in every type of output.