I have a new model ready to deploy.I’m confident in offline metrics, but production risk worries me.A full replacement feels dangerous. What’s the safest approach?
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My GAN generates images but they look washed out.Many samples look almost identical.Training loss looks stable.But the visual quality never improves.
Early gains were easy, but progress has slowed significantly.Most basic controls are already in place.I’m trying to understand how teams continue improving beyond this point.
