Getting started
You hear about AI everywhere, but what is it actually? Three quick ideas, a short read-through, then a quiz to lock it in.
About 4 minutes to read, 4 minutes for the quiz. For educational purposes only.
Building block 1 of 3
What it is
Artificial intelligence (AI) is software that can do tasks that normally take human intelligence — writing, recognizing images, translating, making predictions. The key difference from ordinary software: nobody writes out every rule. Instead, the AI is shown huge numbers of examples and learns the patterns on its own.
Where you already see it
Spam filters, Netflix and Spotify recommendations, your phone's face unlock, and fraud alerts from your bank are all AI. The tools people mean today — ChatGPT, Claude, Gemini — are a newer kind called generative AI, because they generate brand-new text, images, or code.
What it isn't
AI isn't a thinking, feeling mind, and it isn't magic. It's very good at spotting and reproducing patterns, but it doesn't “understand” the world the way you do. Treating it as a powerful, fallible tool — not an all-knowing oracle — is the healthiest starting point.
Building block 2 of 3
Training
Building an AI starts with training: the system processes enormous amounts of data (for chatbots, a huge amount of text) and repeatedly adjusts itself until its predictions get good. The result is called a model — the finished “brain” you actually talk to.
Predicting the next word
A large language model (LLM) like ChatGPT or Claude works by predicting what text should come next, one small piece at a time, based on the patterns it learned. Do that well enough, over billions of examples, and it can answer questions, summarize documents, and write code.
Why it sometimes gets things wrong
Because it's predicting plausible text, not looking up verified facts, an AI can state something false with total confidence. That's called a hallucination. It's why you should double-check anything important — especially numbers, quotes, and sources.
Building block 3 of 3
Prompt
The instruction or question you give an AI. Clear, specific prompts with context get much better answers than vague ones.
LLM (large language model)
The type of AI behind chatbots. It's trained on massive amounts of text to understand and generate language.
Generative AI
AI that creates new content — text, images, audio, code — rather than just sorting or labeling existing data.
Training data
The examples an AI learned from. An AI can only be as good, current, and fair as the data behind it, which is why it can miss recent events or reflect bias.
Token
The small chunk of text (roughly a word or part of a word) an AI reads and writes. Limits on how much it can handle at once, called the context window, are measured in tokens.
Hallucination
When an AI produces something that sounds right but is made up or incorrect.
Correct!
You just finished the AI Explained course — you now know what AI is, how it works, and the terms everyone keeps using.
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Learn to Love Money is for educational purposes only and does not provide personalized financial, investment, tax, or legal advice. AI tools can produce inaccurate or outdated information, so always verify important details. Nothing on this page is a recommendation to buy, sell, or hold any security. Always do your own research and consult a licensed professional before making financial decisions.