AIF-C01 Question 103
Select 2A company wants to integrate a language translation service into its application. They need to process user input in real-time and support multiple languages. The company also wants to minimize the development effort and does not require fine-tuning or customization of the model. Which selection criteria should they prioritize when choosing a pre-trained model for this use case?
- A
Latency
- B
Multi-lingual support
- C
Model size
- D
Model complexity
- E
Customization capabilities
- F
Input/output length
Show answer and explanation
Correct answers: A, B
Explanation
For this real-time, multi-lingual language translation use case, the critical selection criteria are latency and multi-lingual support. These ensure that the service meets the application's real-time performance requirements and supports all the target languages. Other factors, such as model size or customization capabilities, are less relevant since the company does not require fine-tuning or optimization for deployment constraints.
- A. Correct.
Latency is critical for real-time applications to ensure the translation happens quickly without noticeable delays.
- B. Correct.
Multi-lingual support is essential as the company needs to handle multiple languages for translation.
- C. Incorrect.
Model size is less relevant in this scenario as the focus is not on deployment constraints but on functionality and performance.
- D. Incorrect.
Model complexity does not directly align with the company's stated priorities and is not a key factor in this use case.
- E. Incorrect.
Customization capabilities are unnecessary since the company does not require fine-tuning or model customization.
- F. Incorrect.
Input/output length is not a primary concern as the use case does not mention specific limitations or requirements for text length.