What are the best practices for verification in AI systems?
An example of an AI chatbot conversation about best practices for verification in AI systems.
What are the best practices for verification in AI systems?
The best practices for verification in AI systems include thorough testing, validation against real-world scenarios, and continuous monitoring.
Can you explain why continuous monitoring is important?
Continuous monitoring helps identify issues in real-time, ensuring the AI system remains reliable and effective over time.
What types of tests should be included in the verification process?
You should include unit tests, integration tests, and performance tests to cover different aspects of the AI system.
How often should these verifications be conducted?
Verifications should be conducted regularly, ideally after every major update, and also periodically to ensure ongoing reliability.
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