When would you recommend rebuilding a model versus fine-tuning or incrementally updating it?
MLE Q&A #01. Retraining vs fine-tuning in MLOps
First of all, a model needs updating when the data used to train the model is not fully representative of the data the model will encounter when deployed. For example, the training data may cover a limited geographic region or time period. When the model is tested and deployed more broadly, the distribution of the in…
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