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I agree with the issue of ”is the test dataset leaking into the training dataset” being an issue with interpreting LLM capabilities in novel contexts, but not s

I agree with the issue of ”is the test dataset leaking into the training dataset” being an issue with interpreting LLM capabilities in novel contexts, but not sure I follow what you mean on the quantum computing front. My understanding is that many problems have solutions that are easier to verify than to solve using classical computing. e.g. prime factorization

LittleTimothy 2y ago
Oh it's a totally different issue on the quantum side that leads to the same issue with difficulty verifying. There, the algorithms that Google for example is using today, aren't like prime factorization, they're not easy to directly verify with traditional computers, so as far as I'm aware they kind of check the result for a suitably small run, and then do the performance metrics on a large run that they hope gave a correct answer but aren't able to directly verify.