Generative Vision Interview Questions #22 - The DreamBooth Trap

Why naive few-shot personalization quietly steamrolls your model’s prior knowledge, and how to use a frozen base model as its own supervisor to stop catastrophic forgetting.

You’re in a Generative AI Engineer interview at Midjourney and the interviewer asks:

“You DreamBooth a model on 5 photos of a client’s product. It generates that product perfectly, but now everything else it draws looks broken. Why, and how do you fix it without re-collecting data?”

Don’t say: “Just train on more images of the product” or “lower the learn…