alt Hacker Newshow is this different from generating a feature hash of the embeddings i.e reduce from many to one embedding reduction? Could a UMAP or such technique be helpful in reducing to a single vector?
how is this different from generating a feature hash of the embeddings i.e reduce from many to one embedding reduction? Could a UMAP or such technique be helpful in reducing to a single vector?
UMAP doesn't project values into the same coordinate space. While the abstract properties are the same between projections, where it projects it to in coordinate space won't be the same.