What is a training-serving skew?
The difference between a model's performance during training and that same model's performance during serving.
training-serving skew explained in plain English
The difference between a model's performance during training and that same model's performance during serving.
Example
Practitioners refer to training-serving skew when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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