Training data needs a real go/no-go gate before training [D]
We have gates for code, infrastructure, deployment and model performance. But when it comes to the actual training artifact, the decision to proceed is often still spread across notebooks, validation scripts, dashboards
📄
This source provides headlines only. Use the button below to read the complete article on the original site.
📰 Read the original article on r/MachineLearning
Originally published by r/MachineLearning. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.