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I suppose in our new world of LLMs, using as few tokens as possible means you can cram more in a small context window, which could be helpful in various ways.


Maybe someone could produce an LLM which takes a line of vector language code and expands it into the dozen(s) of lines of equivalent pseudo-algol?

(I mean, you could skip the whole hallucination thing and write an exact converter, but that'd be a lot of effort for code that'd probably get used about as much as M-expression to S-expression converters do in the lisp world?)


There are a few articles of using J or APL for ANNs and CNNs out there. Here's one:

  https://arxiv.org/pdf/1912.05234




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