A logistics firm is comparing two tasks: task one sends a scanned delivery photo to a model and asks "is the parcel damaged?", while task two asks a model to create a new promotional picture of an undamaged parcel from a written brief. Which statement correctly distinguishes the model capabilities these two tasks require?
- ATask one needs a multimodal model to interpret the photo, and task two needs an image-generation model to create the promotional picture Correct
- BBoth tasks require an image-generation model, because both involve pictures
- CBoth tasks require a multimodal model, because it can handle any picture-related workload
- DTask one needs an embedding model and task two needs a language model
Why A is correct: Task one supplies an image plus a question and expects reasoning over the visual input, which is multimodal interpretation, while task two turns a text brief into a new picture, which is image generation, so each task maps to a different capability.
Why B is wrong: Sharing the theme of pictures does not make the capabilities identical; task one reads an existing image and must interpret it, which an image-generation model cannot do.
Why C is wrong: A multimodal model interprets visual input but does not synthesise new original pictures, so it cannot satisfy task two despite handling task one.
Why D is wrong: An embedding model only vectorises input and cannot answer whether a parcel is damaged, and a language model outputs text rather than the picture task two needs, so both mappings are wrong.