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Models are trained successfully.Deployment feels rushed.Problems surface late.The team loses momentum.
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Asked: December 22, 2025In: Cloud & DevOps
Asked: June 12, 2025In: Deep Learning
I added thousands of new user interactions to my training dataset.Instead of improving, the recommendation quality dropped.Users are now getting irrelevant suggestions.It feels like more data made the model less accurate.
The gateway enforces authentication, but backend services still feel exposed.There are assumptions that the gateway is handling everything.I’m unsure whether additional security checks are needed internally.?