AI-102 Question 441
Single answerYou are tasked with deploying an Azure OpenAI model for a customer service chatbot that needs to provide natural language responses to user queries. The chatbot must be capable of processing large amounts of conversational data and returning responses in real time. Which Azure OpenAI model should you select and deploy to fulfill this requirement?
- A
GPT-4
- B
Codex
- C
DALL-E
- D
GPT-3.5-turbo
Show answer and explanation
Correct answer: D
Explanation
For a customer service chatbot requiring real-time conversational capabilities, GPT-3.5-turbo is the best choice. It is specifically optimized for conversational AI tasks, providing a balance of performance, cost efficiency, and scalability. While GPT-4 is more powerful, it is not as cost-effective for real-time scenarios. Codex and DALL-E are unsuitable for conversational tasks as they are designed for code generation and image generation, respectively.
- A. Incorrect.
GPT-4 is a highly advanced model but is primarily suited for tasks requiring complex reasoning and extensive computational resources. While it can handle conversational tasks, it may not be the most cost-effective or performant for real-time chatbot scenarios.
- B. Incorrect.
Codex is designed for code generation and understanding programming tasks. It is not suitable for natural language conversational tasks like a customer service chatbot.
- C. Incorrect.
DALL-E is a model designed for generating images from textual descriptions and is not intended for conversational AI or natural language understanding tasks.
- D. Correct.
GPT-3.5-turbo is optimized for conversational AI tasks, offering high performance and cost-efficiency for real-time responses. It is the most suitable model for deploying a customer service chatbot.