Artificial Intelligence is a family of computer programs that perform tasks we used to think needed human intelligence: recognizing faces, understanding language, recommending videos, driving cars. It is math, data and a lot of engineering rather than magic or consciousness.
The three ingredients
- Data — examples the system learns from (photos, sentences, clicks).
- A model — a giant adjustable formula that turns inputs into outputs.
- Training — the process of tuning the model until its answers improve.
AI doesn’t "know" facts the way you do. It finds patterns. A chatbot that writes a great poem is not reasoning like a poet; it is predicting which words usually come next.
That single idea explains both why AI feels brilliant and why it fails in weird ways. If you remember one thing from this module: AI is pattern-matching at enormous scale.