You have an Azure subscription that contains an Azure OpenAI resource. You need to build an app that will suggest product names from a given product description. Which model should you use?

The correct answer is D. GPT-4. To suggest product names from a given product description, the ideal model is GPT-4. GPT-4 is a powerful language model that can understand and generate human-like text based on given inputs, making it well-suited for tasks such as generating creative suggestions like product…

Submitted by helene.fr· Mar 30, 2026Implement natural language processing solutions

Question

You have an Azure subscription that contains an Azure OpenAI resource. You need to build an app that will suggest product names from a given product description. Which model should you use?

Options

AWhisper
BDALL-E
Cembeddings
DGPT-4

How the community answered

(49 responses)

A
12% (6)
B
4% (2)
C
6% (3)
D
78% (38)

Explanation

To suggest product names from a given product description, the ideal model is GPT-4. GPT-4 is a powerful language model that can understand and generate human-like text based on given inputs, making it well-suited for tasks such as generating creative suggestions like product names from descriptions. Whisper is used for speech-to-text conversion, not for generating text suggestions. DALL-E is designed for generating images from text prompts, not for text generation tasks like naming products. Embeddings are used for tasks involving similarity search and semantic understanding but not for generating new text like product names.

Topics

#Azure OpenAI#Large Language Models#Text Generation#Model Selection

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