A/B testing
🤖 CT-AI
Official ISTQB Definition
A test approach in which two variants of a test object are statistically evaluated to determine which performs better for specified characteristics.
3 Ways to Think About It
The Quick Take
Comparing two versions of an AI system to see which performs better with real users.
Look Closer
Running controlled experiments to measure which AI model delivers better results.
The Bottom Line
Testing AI variants side-by-side to make data-driven decisions about which to deploy.
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