QuestionQ152

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Your Azure subscription contains a Microsoft Foundry resource.

You need to build an app that suggests product names from a supplied product description.

Which Foundry model should you use?

Explanation

GPT-4 can understand a product description and generate a suitable product name as natural-language text. Embedding models produce numerical vectors for similarity tasks, DALL-E generates images, and Whisper handles speech-to-text. Microsoft Foundry documentation describes GPT-4 models as able to understand and generate natural language and code.

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