Beginner's Guide to Generative AI

Points clés

• Generative AI predicts the most likely next words, pixels or notes from patterns it learned, so it is fluent first and correct second.
• A good prompt gives the tool a role, the context, the constraints and an example of the shape you want back.
• Treat every output as a draft from a confident intern: check facts, dates, names and numbers before anything leaves your hands.
• The best beginner wins come from small repeated jobs such as rewriting, summarising, planning and explaining, not from one big magic request.
• Never paste private, financial or other people's personal details into a tool you do not control, and say when AI helped you.

À l'intérieur de ce bit

1. What generative AI actually does

   Generative AI is software that produces new text, images, code or sound by predicting what should come next. It learned those predictions from enormous amounts of existing writing and pictures.

2. The vocabulary you will keep meeting

   A few words unlock most conversations about this technology. A model is the trained system itself.

3. Your first three moves

   Start with jobs where a wrong answer costs little and a good answer saves time. Rewriting is the safest: paste your own paragraph and ask for it shorter, friendlier or more formal.

4. How to ask so you get something useful

   A vague prompt gets a vague answer. Four ingredients change that.

5. Checking, privacy and fairness

   Because the tool predicts rather than knows, verification is part of using it. Check any fact, figure, date, quotation or legal claim against a source you trust before you rely on it.

6. Building a small habit that lasts

   Confidence with generative AI comes from repetition, not from a course. Choose one recurring task, such as drafting replies to customer messages or turning meeting notes into action lists, and use the tool for it every day for two weeks.