Your VLM answers single-image questions well but falls apart on 50-page documents. How do you fix it?
The instinct is to blame the vision encoder. It is a token-budget problem, and the fix is to retrieve pages before you look at them. What separates a strong answer is knowing which question types page retrieval quietly cannot answer.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
The instinct is to blame the vision encoder. It is a token-budget problem, and the fix is to retrieve pages before you look at them. What separates a strong answer is knowing which question types page retrieval quietly cannot answer.
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.
