Automation: Build A Training Pipeline
summary
Describes automating machine-learning training and deployment so multiple experiments don’t have to be run serially on a single machine. Covers building a training pipeline that handles repetitive tasks and speeds up deployment (aiming to show ML architecture deployment in 60 seconds), focused on automation for large datasets rather than manual cloud-only workflows.
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