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Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Learn how to use Ray’s distributed tuning and parallel processing to scale reinforcement learning predictions and training, including Kubernetes-based autoscaling for production.
We’ll walk through how ezbot uses the Ray Python libraries to scale reinforcement learning prediction and training for our customers. We leverage the distributed hyperparemeter tuning framework as well as the massively-parallel processing capabilities of Ray to make RL relatively simple.
ezbot.ai automates AI-driven website optimization via no-code A/B testing.
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