That doesn’t work well in a lot of scenarios. The text LLM doesn’t know what to look for in an image before it sees a description, you might need multiple rounds of back and forth.
That doesn’t work well in a lot of scenarios. The text LLM doesn’t know what to look for in an image before it sees a description, you might need multiple rounds of back and forth.
Vision decoding outside of the latent space of the model is lossy, but claude opus's vision isn't that great outside of UI screenshots. I mean it works in a pinch. At least in my testing, if you're looking at non UI images, there are better image to text models that can turn into a very precise documents that any LLM can easily parse.