What are the best practices for deploying AI models?
An example of an AI chatbot conversation about best practices for deploying AI models.
What are the best practices for deploying AI models?
Some best practices include version control, automated testing, and monitoring performance post-deployment.
Can you explain why version control is important?
Version control helps track changes, manage updates, and ensure that you can revert to previous versions if needed.
What tools do you recommend for automated testing?
Popular tools include TensorFlow Model Analysis, MLflow, and pytest for Python-based models.
How can I monitor the performance of my deployed model?
You can use tools like Prometheus, Grafana, or custom dashboards to track metrics like accuracy and latency.
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