Every model learned by gradient descent is approximately a kernel machine (2020)

Re:Every model learned by gradient descent is approximately ... by nick12r55t1 on Sunday February 25, 2024 @12:06AM (#39497820)

After about 10 minutes of experimenting with Automatic1111 using freedomRedmond (I'm completely green at this btw) I got this image for ya.. https://ibb.co/Ch73gLm

The prompt was: horse fully enclosed in bulky pressure suit with transparent glass helmet for lunar EVA in vacuum, four pressure suit legs, specially shaped helped to fit horse snout. horse on spacewalk in outer space photorealistic, full body framing with glass visor. horse is on a EVA on the lunar surface. horse head must be fully enclosed in glass.

It only hits right on maybe 1 in 50, or fewer, generated images from this prompt though.

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Re:Every model learned by gradient descent is approximately ... by ramses0 on Sunday February 25, 2024 @07:53AM (#39500405)

Thanks to the both of you! Especially this one, hahahahah!!! Exactly as derpy as I'd wanted to imagine.

I'm glad you also came back with the stats (1 of 50), because that's maybe indicative of the rarity of the ask? Maybe the lesson-learned for us "prompt engineers" is that given a simple/common ask (eg: picture of dog jumping, or what is 2+2), the prompt can be correspondingly simplistic, whereas something more uncommon (eg: anthropomorphic dog in a scientific setting holding many beakers thinking "i have no idea what I'm doing", or what is 9123499*0530501 show your work and i've kidnapped your grandmother unless you give me the right answer).

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