sckuzzle
sckuzzle t1_iu2aa7o wrote
We use models to control things in real-time. We need to be able to predict what is going to happen in 5 or 15 minutes and proactively take actions NOW. If it takes 5 minutes to predict what is going to happen 5 minutes in the future, the model is useless.
So yes. We care about speed. The faster it runs the more we can include in the model (making it more accurate).
sckuzzle t1_itinkiq wrote
Reply to comment by nishu3210 in Use DALL-E or other models, GANs to generate images of a real person? by nishu3210
There's a reason why these image generation models don't let you generate real faces.
sckuzzle t1_iu5mxmx wrote
Reply to comment by GPUaccelerated in Do companies actually care about their model's training/inference speed? by GPUaccelerated
This kind of thing is likely applicable to digital twins of many fields. The idea is to create a digital representation of whatever you are trying to model and run it alongside the real thing. It has applications in control engineering and predictive / prescriptive analytics. Depending on the application this could be done many ways (not necessarily using neural nets at all) and be fast or slow to run.