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by lament76
1524 days ago
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Neural nets only need linearly more data for optimal performance: https://www.lesswrong.com/posts/midXmMb2Xg37F2Kgn/new-scalin... At the same time, fine-tuning sample efficiency increases with scale, so at some point you can possibly one-shot learn state and get rid of exponential searches, solving NP-Hard problems with heuristics. Sounds like a free lunch to me. At least if you can afford a net large enough. |
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