Real-Time Inference
Kelley discusses the evolution of infrastructure for real-time inference, emphasizing the use of tree-based models like random forests and XGBoost. The conversation highlights innovative approaches to model composition, allowing for dynamic scoring based on specific conditions. With an efficient tagging system for model identifiers, deploying new models becomes seamless and streamlined.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
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