What is generative AI and how is it different from traditional AI?
Generative AI produces new content — text, images, sound, code — while traditional AI classifies, predicts or recommends from existing data. Both rely on machine learning, but generative AI has made AI directly usable by the general public since 2022.
Generative AI produces new content, while classical AI classifies, predicts or recommends from existing data. Both rely on machine learning, but they do different things. Classical AI answers questions like: is this email spam, will this customer churn, which product to recommend. Generative AI responds to requests like: write this text, create this image, summarize this document. It is this second category that has transformed the general public's relationship with AI since 2022.
What generative AI produces
Text, through conversational assistants. Images, from a description. Sound and voice, including vocal imitations. Video, still imperfect but progressing rapidly. Computer code. In all cases, the principle is the same: the system generates novel content that statistically resembles what it has learned.
What classical AI does
It remains massively present and often invisible. Bank fraud detection, predictive maintenance in industry, content recommendation, price estimation, resume screening, medical diagnostic assistance. These systems create nothing: they analyze and decide within a defined framework.
Why the distinction matters
It highlights the risks. A classical AI for resume screening can discriminate if its data is biased, but it does not fabricate fake content. A generative AI can produce convincing but false text, or misleading images. The safeguards are not the same.
It also highlights regulation. The European regulation specifically addresses certain generative uses, notably the obligation to label artificial content, while strictly governing classical AI uses in sensitive areas such as recruitment or credit.
Frequently Asked Questions
Is generative AI more powerful than classical AI?
Neither more nor less. It does something different. For predicting a risk, classical AI is often still more suitable.
Can they be combined?
Yes, increasingly so. A single service can analyze your data with classical AI and generate a response with generative AI.
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