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Notes -
CogVLM is a much older paper than LLaVA. Nevertheless it's still an architecture that bolts on vision to a fully pretrained text-only model.
The meta Chameleon model is the only known large model to be trained from the beginning on multimodal data, but none of the providers have shown any sign of commercializing this technique.
There is always the possibility of secret sauce being included in there, but meta llama3, which is known to be a text-only model augmented with vision, performs similarly to the latest proprietary models in multimodal tasks, which is to say like ass. If any of these companies cracked the code on multimodal, I'd expect them to at least brag about it.
I haven't seen it yet. Care to share the link?
It took a lot of chasing, and it turns out it wasn't 4V, but rather 4o.
Here's a tweet from Greg Brockmann showing off the native image generation:
https://x.com/gdb/status/1790869434174746805
thanks
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