Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Enhancing Experiment Management and Hyperparameter Optimization
This chapter focuses on the tools and processes designed for experiment management and hyperparameter optimization in machine learning training. It emphasizes the significance of custom parameters in APIs and the development of shared services that facilitate automated training requests and evaluation workflows.
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