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What should be baffling for so many but isn't mentioned enough is how a neural network that is based on continuous mathematics leads to things like GPT-3 that works on discrete tokens.
3 years ago, I wrote a rebuttal blog post that argued why Deep Learning could be applied to NLP. This was in response to a post making the rounds that it was impossible. medium.com/intuitionmachi…
The argument against Deep Learning was that it is based on continuous function and thus cannot be applied to non-continuous things like words: linkedin.com/pulse/google-h…
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