What are the latest updates on AI testing methodologies?
Recent updates include the adoption of automated testing frameworks and enhanced performance metrics.
Can you explain what automated testing frameworks are?
Automated testing frameworks are tools that allow developers to run tests automatically, improving efficiency and accuracy.
What performance metrics should I focus on?
Key performance metrics include accuracy, precision, recall, and F1 score, which help evaluate model effectiveness.
Are there any new tools for AI testing?
Yes, tools like TensorFlow Extended (TFX) and MLflow are gaining popularity for managing AI testing workflows.
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