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Doesn't the sample size for this have to be very large for it to make a difference? Genuine question.



With semi-supervised learning a small amount of labeled data, can produce considerable improvement in accuracy:

https://en.wikipedia.org/wiki/Semi-supervised_learning

https://towardsdatascience.com/semi-supervised-learning-how-...


Thank you!


Sure, but there are millions of people on the DALLE waitlist, who would happily rate the output for better performance / more credits. The famous ImageNet data set only has 1.2M images.




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