Microsoft Azure AI Fundamentals AI-900 Practice Question
As a data scientist at a marketing firm, you are tasked with generating personalized product descriptions for the company's online catalog. You consider using a generative AI model to automate this process.
Which of the following is a key characteristic of a generative AI model that makes it suitable for this task?
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It can classify images into predefined categories.
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It can predict numerical values based on historical data.
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It can generate new content based on learned patterns from training data.
It can generate new content based on learned patterns from training data - This is the correct answer. Generative AI models are specifically designed to create new content, such as personalized product descriptions, based on patterns learned from the training data. This makes them highly suitable for automating the generation of unique and relevant product descriptions.
It can classify images into predefined categories - This characteristic is typical of image classification models, which focus on categorizing images, not generating new content.
It can predict numerical values based on historical data - This is the function of predictive models, which are used for tasks like forecasting or regression, rather than generating creative content like product descriptions.
It can recognize speech and convert it to text - This describes speech-to-text models, which convert spoken language into written text. It is not related to generating new content, such as product descriptions, from text inputs.
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Microsoft Azure AI Fundamentals AI-900
Describe features of generative AI workloads on Azure
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