What are the best practices for maintaining AI models in production?
The question is about AI Engineering .
The best ways to maintain AI models in production are to continuously monitor their performance, retrain them regularly with new data, and use version control to track every change. Engineers also check for drops in accuracy, bias, or unusual results, and have tools ready to quickly identify and resolve issues. Frequent retraining keeps the model accurate and current, while version control ensures you can safely revert to a previous version if necessary.
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