4 comments
I'd be interested to see if using DiffusionGemma-as-Jev helps as you can feed the image directly into the model and it'll make decisions based on the image embeddings.
I had a long talk with chat gpt about this today as well. I think its duable and prolly not too hard either, also you could do lotsa funky stuff with stitched frames of a video in one 4x4 grid for example and send that as one image for analysis. that way temporal understanding can be had for fractions of a second by jev... also because vlm works in pixel space you can get around the whole state machine issue as well, so many possibilities...
How does it do on OSWorld-verified? Recently read that even Fable 5 is just at 85% .
Super cool. Hope waitlist will move soon. I have a use case for it too.<p>are you the author? If so - what are your notes on using Jev in this scenario?
Curious about people’s experience here. I am working on a small model, verify by jev, and escalate to big model. Some cases, the small model is not a model but some regex.<p>cheap-confirm-escalate<p>Using jev as the confirm step.
Did you do the follow up questions? I was invited within a few hours of joining today.<p>It's also now on openrouter and cloudflare
[dead]