Training data looks correct.Live predictions use the same features by name.Yet values don’t match expectations. This undermines trust in the system?
Decode Trail Latest Questions
The system performs well in offline tests.Under real user traffic, errors appear.Latency increases and predictions degrade.The same model is running.
Some formula fields calculate correctly for most records but return unexpected values for others. The formula itself hasn’t changed. The affected records don’t show obvious differences. I’m trying to understand what causes this inconsistency.
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 ...
An LWC works perfectly in sandbox, but in production it occasionally fails without showing meaningful errors. Users just see a broken component or missing data. Debugging is difficult because there’s no visible stack trace. I’m trying to understand why this ...
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.
