Tip: neither the "30 second TL;DR" nor the intro paragraph above it really explain to anyone unfamiliar with your (possibly novel?) jargon what it does
“Semiotic awareness” is not standard ML terminology. The dictionary definition of semiotic simply means “relating to symbols” so it’s a bit grandiose to say you have Qwen “awareness of symbols” when in reality it’s a marginal improvement if even true.
Also to say that a philosopher that died 100 years ago inspired a new attention head is another instance of GPT off his rocker again. You don’t need MAH to contextualize “freedom” in a sentence. Attention already does that.
Thank you, I would appreciate additional feedback on how I can improve that?
Edit: its not GPT nor off rocker. This repo empirically proved computational semiotics with the reference to C.S. Peirce, Paul Kockelman, and many other respected contemporary semioticians.
Just try to explain why I should use it and why it's different or better than alternatives - in terms of some qualities of the results rather than how it's implemented
The technical implementation details are also useful to have, but they're a bit hard to parse into "what is this?"
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You should write your readmes by hand. You’ll learn a lot more that way, and it’ll help to ground the project.
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