A/B testing Project The project uses A/B testing to compare two AI models in real-time. The existing model receives 90% of user traffic, while the new model receives 10%. Kubernetes manages both models, and Prometheus monitors metrics like accuracy, latency, and errors. Based on performance, traffic can gradually shift to the better model.
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