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Is there a world in which hashes could be used as an alternative to word2vec style vector embeddings? Where you basically convert text inputs to an ideal fixed width representation and then calculate the "similarity" between them to derive some kind of meaning?



Adjacent algorithms are used all over that space.

In general random projection, which is used to for dimension reduction in vector spaces, can also be used to construct LSHs; for example.




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