Why is model monitoring important in AI?
An example of an AI chatbot conversation about the importance of model monitoring in AI systems.
Why is model monitoring important in AI?
Model monitoring is crucial to ensure that AI models perform as expected over time, adapting to new data.
What happens if we don't monitor our models?
Without monitoring, models can drift, leading to inaccurate predictions and potentially harmful decisions.
How often should we monitor our AI models?
Monitoring frequency depends on the application, but regular checks are recommended to catch issues early.
What tools can we use for model monitoring?
There are several tools like Prometheus, Grafana, and specialized ML monitoring platforms that can help.
Can you give an example of model drift?
Sure! An example of model drift is when a model trained on historical data fails to predict current trends due to changes in user behavior.
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