Microsoft Azure AI Engineer Associate AI-102 Practice Question
An internal support application must generate concise bullet-point summaries of customer chat sessions in near-real time. Chats are primarily in English, occasionally in Spanish. The team wants to minimize both latency and cost while maintaining adequate summarization quality and staying within Azure OpenAI Service. Which base model should you recommend?
GPT-35-Turbo provides strong performance on summarization tasks at significantly lower latency and price than GPT-4, making it suitable for real-time workloads. It supports multilingual input, including English and Spanish, because it is trained on broad multilingual data. DALL-E 3 is for image generation, Whisper models handle speech recognition, and GPT-4, while capable, is more expensive and slower, so it does not meet the stated cost and latency constraints.
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Microsoft Azure AI Engineer Associate AI-102
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