Which statement describes differences between training and inference in AI learning models?
The inference process requires high throughput to enable rapid training on large datasets.
The training process is more computationally demanding because it processes new data.
The training process is more optimized for low latency, which enables faster analysis of large datasets.
The inference process requires continuous model adjustments to maintain accuracy with new data.
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