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Luke Zettlemoyer

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The Move Toward AGI: Why Large Language Models Surprised Almost Everyone... | Theoretically SpeakingThe Future of Language Models and Transformers 20252025-03-31
Discussion gives concrete claims: scaling laws from 2020 reliably predict pretraining progress; in-context learning (zero/one/few-shot) emerges from next-token…
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Mixed-modal Language Modeling: Chameleon, Transfusion, and Mixture of TransformersThe Future of Language Models and Transformers 20252025-03-31
A unified early-fusion effort tests three concrete systems and training facts: Chameleon (tokenized images) converts images to ~1,000 discrete tokens and hits…
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