Question

Which statement explains the differences between training and inference in AI learning models?

Accepted Answer

D. The training process is more computationally demanding because it processes new data.

Answer

The training process is more optimized for low latency, which enables faster analysis of large datasets.

Answer

The inference process requires continuous model adjustments to maintain accuracy with new data.

Answer

The inference process requires high throughput to enable rapid training on large datasets.