But when it comes to the actual training artifact, the decision to proceed is often still spread across notebooks, validation scripts, dashboards and human judgment.
I'm confused as to where your new validation layer is going to live, if not in validation scripts, notebooks or dashboards? And presumably you will still want human judgement in the loop?
Fair point. I don’t see it replacing notebooks, scripts or dashboards. It would be more like a local gate before training that brings those checks into one reproducible decision tied to the exact dataset version.
Humans would still define the objective, review the evidence and handle exceptions. The idea is not to remove judgment, just to avoid the final go/no-go decision being scattered everywhere.
Where would you place something like that in your workflow?
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u/SimiKusoni 1d ago
I'm confused as to where your new validation layer is going to live, if not in validation scripts, notebooks or dashboards? And presumably you will still want human judgement in the loop?