1,975 karma · joined February 26, 2009
https://cjauvin.blogspot.com
(1) It doesn't make the language less efficient
(2) The new feature is coherent with the rest of the language
(3) It doesn't make learning the language harder
(4) It brings joy in my life (as f-strings do)
Then.. it's ok :-)
[1] https://www.amazon.com/Avogadro-Corp-Singularity-Closer-Appe...
http://cjauvin.blogspot.com/2012/12/find-true-love-on-dating...
I'm not entirely sure but I think this definition of embedding is wrong: first they are not binary, they are floats (as the other parameters/weights) and they do change, as the error backpropagates through them. They are simply "swappable parameters", explicitly corresponding to each word, thus it's possible to detach and reuse them for other purposes after training, which is not necessarily easy (or meaningful) with any other weight matrix in a model.