Evaluate AI models by running experiments with trusted business metrics
Put different models into head-to-head tests, comparing vertical-specific models vs. foundational models, proprietary vs. open source, and measure the impact on ROI.
Adjust inputs and parameters within different models, test them rapidly, and make continuous optimizations.
Track business metrics, model inputs, and model outputs to better understand tradeoffs.
Gather results quickly with CUPED experiment acceleration and sequential analysis, increasing speed and accuracy of model deployment.