@_albertgu
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"
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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"
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"text": "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\"",
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"text": "Hybrid (transformer–RNN) models are fast becoming a serious alternative to the transformer, but a big question remains: how do they process tokens differently & how does this impact performance? \n\nWe compared our transformer (Olmo 3) & hybrid (Olmo Hybrid) models to find out. 🧵 https://t.co/VIDyFqcyjI",
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