An eval suite that never varies the image will happily pass a model that has stopped looking at it. Start with the modality ablation, then pick metrics by what the system actually produces. Here is the full stack.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
An eval suite that never varies the image will happily pass a model that has stopped looking at it. Start with the modality ablation, then pick metrics by what the system actually produces. Here is the full stack.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
