AIF-C01 Question 105
Select 2You are developing a chatbot for a multilingual customer service application that must support text input in multiple languages and provide responses with minimal latency. Your team prefers to minimize customization efforts and is considering using a pre-trained model. Which criteria should you prioritize when selecting the pre-trained model?
- A
Support for multiple languages
- B
Low inference latency
- C
High customization capability
- D
Large model size
- E
Cost efficiency
Show answer and explanation
Correct answers: A, B
Explanation
The key requirements for this scenario are multilingual support and minimal latency, as the chatbot must handle multiple languages and provide quick responses. While other factors like model size, cost, and customization are important in general, they are not the primary selection criteria for this specific use case. By prioritizing multilingual support and low latency, the team can ensure the chatbot meets its functional and performance requirements.
- A. Correct.
Support for multiple languages is crucial since the chatbot must handle text input in different languages. Pre-trained models with multilingual support are necessary for this use case.
- B. Correct.
Low inference latency is important because the chatbot needs to provide responses quickly, ensuring a good customer experience.
- C. Incorrect.
High customization capability is not the primary focus here, as the team prefers to minimize customization efforts. Pre-trained models that work out-of-the-box are more suitable.
- D. Incorrect.
Large model size is not directly relevant to this scenario. While larger models may offer better accuracy, they might also increase latency and cost, which are not priorities here.
- E. Incorrect.
Cost efficiency is always a consideration, but it is not explicitly mentioned as a priority in this scenario. The focus is on multilingual support and low latency.