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Further to this, as I understand it the "embedding" is mapping the tokens into vectors in a space where tokens semantically similar will be close together in th
by caf 4y ago
Further to this, as I understand it the "embedding" is mapping the tokens into vectors in a space where tokens semantically similar will be close together in the space.
- nerdponx 4y agoLest we forget that the ability to even construct this sort of "word vector" was somewhat recently considered both fascinating and cutting-edge (word2vec turns 10 this year). We have come a very long way, very quickly.