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Generative AI vs Traditional (discriminative) AI
AI (Artificial Intelligence) can be defined as when a computer does something that a person would normally do. Generative AI creates new content. This content can be audio, video (images and movies) or text.
Generative AI differs from “traditional” AI. Traditional AI labels data but does not create new data.
Traditional AI uses patterns in data and algorithms to estimate:
- how much / many of a thing (regression)
- to decide if a thing is in a particular class e.g. is the image that of a dog, a cat, or neither (classification)
- grouping items with similar attributes into sets (clustering)
Examples of “traditional” AI in daily life include:
- when the bank approves your credit card transaction or
- when Amazon / YouTube / Netflix recommend a book / video / movie.
- facial recognition at passport e-gates
- choice of adverts presented to us on search engines and sites like YouTube
Examples of Generative AI in daily life include:
- ChatGPT and Copilot
- customer service chatbots
- Amazon’s Alexa, Apple’s Siri