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We can now each the performance of original VGG16/VGG19 with models that are much smaller. On ImageNet MobileNetsV2 matches the performance with 1/30 the size o
by jononor 6y ago
We can now each the performance of original VGG16/VGG19 with models that are much smaller. On ImageNet MobileNetsV2 matches the performance with 1/30 the size of weights, and same order of magnitude reduction in inference time and RAM usage.
The same will probably happen with GPT-3.
Of course we will probably also get models that surpass GPT-3 at the cost of even larger and more expensive models. The two are not at all exclusive.