How do LLMs get information from images? Do they have to run essentially the opposite of an image generation model, taking an image and converting it into a description? I'm just concerned that the description wouldn't be able to encapsulate the information needed to differentiate exactly what is wrong with a shoulder. The image -> text model would need to know what it should actually report back to the LLM about the image, so that it doesn't just say "this is an MRI of a shoulder" or similar. It would be like a layperson describing a bridge, and asking an engineer if the bridge is safe based on that description