How often should we re-evaluate AI models?
An example of an AI chatbot conversation about re-evaluating AI models for performance and accuracy.
How often should we re-evaluate AI models?
It's recommended to re-evaluate AI models at least every 6 to 12 months, depending on the application.
What factors should influence the re-evaluation frequency?
Factors include changes in data, model performance, and shifts in user needs or business goals.
Can you explain the re-evaluation process?
The process typically involves collecting new data, testing the model's performance, and making necessary adjustments.
What tools can assist in the re-evaluation of AI models?
Tools like MLflow, TensorBoard, and various A/B testing frameworks can help in the re-evaluation process.
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