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Decode Trail Latest Questions
I fine-tuned a pretrained Transformer on a small custom dataset.Training finishes without errors.But the generated outputs look random and off-topic.It feels like the model forgot everything.
MFA is enabled, yet compromises still happen.This feels counterintuitive given how strongly MFA is recommended.I’m trying to understand what threats MFA doesn’t cover.
Some business logic exists in both Flows and Apex, and conflicts occasionally arise. Records end up in unexpected states. Debugging feels difficult because execution spans multiple layers. I want to understand why this happens.
My model uses both image and text inputs.It works well when both are provided.If one modality is missing, outputs become random or broken.Real-world data is often incomplete.
