In the last post, we pulled pretrained models from public hubs and got results fast. Great for demos. But when you’re running multiple projects, retraining variants, and handing models between teams, you need something sturdier: an internal model registry. Think of it as a single place to track what models you have, which data trained […]
Tag Archives: AI transparency
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Jun
Jun
Why Black Box AI Is Out—and Clarity, Confidence, and Accountability Are In Remember when “AI” meant a magical black box that just worked—or didn’t—and you had to shrug and move on? Those days are done. If you’re putting AI in front of customers, users, or regulators, you need more than clever math and marketing swagger. […]
