ChatGPT, Midjourney, Copilot… Generative AI is everywhere. But how does it really work? Here’s the essential, simply.
A prediction engine
A generative AI has « read » huge amounts of text/images. It learns patterns and predicts what comes logically next — word after word, pixel after pixel.
It’s like a super-smart autocompletion: it guesses the next part based on what it’s seen before, but it doesn’t truly understand the meaning.
If you ask it to write a poem about an A380, it might generate lines like « The A380 glides, a titan of the skies, / Four engines humming, where the wild winds rise.». It sounds good, but it doesn’t know what an A380 really is.
Why it’s amazing… and sometimes wrong
It produces coherent content, but doesn’t « understand » like a human: it can invent (the famous hallucinations). Hence the importance of checking.
It’s like a parrot that repeats phrases it’s heard, sometimes mixing them up. The output can sound right, but it’s not always accurate.
How to use it well
Provide context, iterate, keep a critical mind. AI suggests, you decide.
- Give clear instructions (e.g., « Write a 500-word article on A320neo maintenance»)
- Refine the output by asking follow-up questions
- Always verify facts before using the results
To master all this, our training ChatGPT from A to Z makes you independent.
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