What are the key parameters for stress testing an AI model?
An example of an AI chatbot conversation about stress testing parameters for AI models.
What are the key parameters for stress testing an AI model?
Key parameters include input data variability, model complexity, performance metrics, and resource limits.
How do I determine the right input data for stress testing?
You should use a diverse dataset that covers edge cases, outliers, and typical usage scenarios.
What performance metrics should I focus on during stress testing?
Focus on accuracy, response time, resource utilization, and error rates to gauge performance under stress.
Can you give examples of resource limits I should consider?
Consider CPU usage, memory consumption, and network bandwidth as critical resource limits during testing.
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