AI-102 Question 467
Single answerYou are designing an AI solution for a retail company that wants to build a virtual shopping assistant capable of understanding customer queries, generating personalized product recommendations, and analyzing uploaded images of products to match them with inventory. The solution must use a large multimodal model available in Azure OpenAI. Which service and model combination should you use to implement this solution?
- A
Azure OpenAI Service with the GPT-4 model
- B
Azure Cognitive Services with the Face API
- C
Azure OpenAI Service with the GPT-4 model with Vision capabilities
- D
Azure Cognitive Services with the Custom Vision API
Show answer and explanation
Correct answer: C
Explanation
The GPT-4 model with Vision capabilities in Azure OpenAI Service is the best choice for this scenario because it supports multimodal inputs, enabling the model to process both text and images. This makes it suitable for tasks like understanding customer queries, generating recommendations, and analyzing product images, all within a unified solution.
- A. Incorrect.
While the GPT-4 model in Azure OpenAI Service is powerful for natural language processing and text generation, it does not support multimodal capabilities, such as analyzing images.
- B. Incorrect.
The Face API in Azure Cognitive Services is specialized for facial recognition and does not provide the multimodal support needed for product matching or recommendations.
- C. Correct.
The GPT-4 model with Vision capabilities in Azure OpenAI Service is specifically designed for multimodal use cases, allowing it to process both text and images, making it ideal for the described scenario.
- D. Incorrect.
The Custom Vision API in Azure Cognitive Services is useful for building customized image classification models but does not provide the integrated multimodal capabilities required to handle both text-based queries and image analysis in a single solution.