this post was submitted on 04 Apr 2025
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[–] Not_mikey@slrpnk.net 7 points 22 hours ago (2 children)

Another very surprising outcome of the research is the discovery that these LLMs do not, as is widely assumed, operate by merely predicting the next word. By tracing how Claude generated rhyming couplets, Anthropic found that it chose the rhyming word at the end of verses first, then filled in the rest of the line.

If the llm already knows the full sentence it's going to output from the first word it "guesses" I wonder if you could short circuit it and say just give the full sentence instead of doing a cycle for each word of the sentence, could maybe cut down on llm energy costs.

[–] funkless_eck@sh.itjust.works 6 points 12 hours ago* (last edited 12 hours ago)

interestingly, too, this is a technique when you're improvising songs, it's called Target Rhyming.

The most effective way is to do A / B^1 / C / B^2 rhymes. You pick the B^2 rhyme, let's say, "ibruprofen" and you get all of A and B^1 to think of a rhyme

Oh its Christmas time
And I was up on my roof when
I heard a jolly old voice
Ask me for ibuprofen

And the audience thinks you're fucking incredible for complex rhymes.

[–] angrystego@lemmy.world 4 points 12 hours ago

I don't think it knows the full sentence, it just doesn't search for the words in the order they will be in the sentence. It finds the end-words first to make the poem rhyme, than looks for the rest of the words. I do it this way as well just like many other people trying to create any kind of rhyming text.