The base model worked well before.After fine-tuning on new data, accuracy drops everywhere.Even old categories are misclassified.The model seems to have forgotten what it knew.
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We noticed that a Flow works correctly when tested as an admin, but behaves differently or fails for standard users. Sometimes records aren’t updated, or certain paths don’t execute at all. There are no obvious errors shown to users. I ...
transformer model debugging
My GAN generates faces.But many look distorted or unnatural.Eyes and mouths appear in wrong positions.The training seems stable, but outputs are flawed.
Different teams trained models independently.Each performs well in certain cases.Now deployment is messy.Choosing one feels arbitrary.
Some queries that were once fast are now approaching timeout limits. Indexes exist, but performance gains are inconsistent. As more filters and joins are added, tuning becomes difficult. I want to understand why SOQL optimization gets harder at scale?
