@_albertgu: Transformers are better at copying, while RNNs are better at modeling "meaning-bearing words—the nouns, verbs, & adject…
Summary
A thread from Ai2 compares transformer (Olmo 3) and hybrid (Olmo Hybrid) models, finding that transformers excel at copying while RNNs better model meaning-bearing words, highlighting the growing viability of hybrid architectures.
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Cached at: 06/28/26, 10:07 PM
Transformers are better at copying, while RNNs are better at modeling “meaning-bearing words—the nouns, verbs, & adjectives that say what a sentence is about”
in retrospect i realized this post sounds hilariously biased which was not intentional, i was mostly quoting the original
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