They create new data based on learned patterns from training data - This is the correct answer. AI models that generate new content, such as text, images, or music, are typically generative models. They learn patterns from training data and use this knowledge to produce original content that resembles the data they were trained on.
They classify input data into predefined categories - This describes classification models, which focus on categorizing data into specific labels or categories, rather than generating new content.
They predict numerical values from historical data - This is characteristic of predictive models, which are used for forecasting or regression tasks, rather than generating new content.
They retrieve exact copies of existing content - This describes retrieval-based models, which focus on finding and returning pre-existing content from a database or dataset, rather than generating new, original content.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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