3 ms·
>it's an autoregressive feature based on the entire stream of incoming tokens. Humans have a bias to focus on the 'last token used', this is not what language m
by thfuran 3y ago
>it's an autoregressive feature based on the entire stream of incoming tokens. Humans have a bias to focus on the 'last token used', this is not what language models look at.
But human language is created for and by humans. Is not then operating on language in a categorically different manner an incorrect usage/understanding of language?
- tysam_and 3y agoNo. For more information, please see https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf https://people.math.harvard.edu/~ctm/home/text/others/shanno...
- thfuran 3y agoI'm not sure why you think that's a rebuttal.
- tysam_and 3y agoIt is because it is the foundation for the mathematics underpinning your question about communications systems, encodings, and their various structures. It also explains why the choice of the log likelihood is a better fit for estimating a token-based model than some other hand-crafted heuristic. The version with the Weaver introduction is quite good as well, there are other versions of similar papers covering the topic from different angles, I find it to be well-worth the read.