CSEET · Economic and Business Environment · AI and Business Environment
Which of the following distinguishes generative AI from a traditional rules-based or purely predictive AI system?
Generative AI creates new content, such as text, images or code, by learning patterns from large training datasets. Traditional rules-based or predictive systems mainly classify or forecast within set categories. Generative models rely heavily on training data and do not need humans to write every output.
- AIt produces new content such as text, images or code based on patterns learned from large datasetsCorrect
- BIt can only classify inputs into pre-defined categories
- CIt works only when a human writes every output manually
- DIt cannot use any training data
Explanation
Generative AI models learn patterns from large datasets and create new content like text, images or code. Classification into fixed categories describes typical predictive or discriminative systems, and generative models depend heavily on training data rather than manual outputs.
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