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Neural Networks Need Data to Learn. Even If It’s Fake.

www.quantamagazine.org Neural Networks Need Data to Learn. Even If It’s Fake. | Quanta Magazine

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.

I’ve been following the development of the next Stable Diffusion model, and I’ve seen this approach mentioned.

Seems like this is a way in which AI training is analogous to human learning - we learn quite a lot from fiction, games, simulations and apply this to the real world. I’m sure the same pitfalls apply as well.

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