Topic 1 Question 15
Which metric measures the runtime efficiency of operating AI models?
Customer satisfaction score (CSAT)
Training time for each epoch
Average response time
Number of training instances
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コメント(5)
- 正解だと思う選択肢: C
Average response time refers to the time taken by an AI model to produce a result after receiving an input. It is a critical metric for assessing the runtime efficiency of an AI model during inference, particularly in applications where quick responses are essential, such as in real-time applications or interactive systems.
👍 7jove2024/11/05 - 正解だと思う選択肢: C
Yes, "average response time" is the primary metric used to measure the runtime efficiency of operating AI models, as it directly reflects how quickly a model can produce a prediction or response to a given input
👍 4LR20232024/11/04 - 正解だと思う選択肢: C
C: Average response time
Explanation: Average response time is a key metric for measuring the runtime efficiency of operating AI models. It indicates how quickly the AI model processes a request and returns a response, which is critical for assessing the performance and efficiency of deployed models, especially in real-time applications.
👍 2Moon2024/12/30
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