Logs show access from IPs we don’t recognize.There’s no obvious service outage, but the activity looks suspicious.I’m trying to determine whether this is expected behavior or a security incident?
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An old model is still running in production.Traffic has shifted to newer versions.I want to remove it safely.But I’m worried about hidden dependencies.
I upgraded to a GPU with much more VRAM.I increased the batch size to use the available memory.Now the training is noticeably slower per epoch.There are no errors, but performance feels worse than before.
Batch predictions look reasonable.Real-time predictions don’t.Same model, same features—supposedly. Yet results differ?
The model still runs without errors.Performance seems “okay.”But I suspect it’s getting stale.There’s no obvious trigger.
I trained a CNN to classify multiple object categories from images.The training completes without errors and the accuracy looks decent.But when I run inference, every image gets the same label.Even very different images are predicted as the ...
Records update repeatedly without obvious loops. I want to understand why recursion happens.
