The _most_ important use-case (more than hotdog-or-not!) for DiffusionGemma-as-Jev's image stack: categorizing food by the number of sides in under half a second each.
I ran some real, live evals on Jev vs DiffusionGemma-as-Jev (my patch for vLLM!)
DiffusionGemma comes out as the winner, I think.
Headlines:
Is Jev faster than DiffusionGemma? No ❌ (API vs DGX Spark)
Is Jev smarter than DiffusionGemma? No ❌ (they're roughly tied!)
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