Machine Learning Street Talk (MLST) cover image

ARC Prize v2 Launch! (Francois Chollet and Mike Knoop)

Machine Learning Street Talk (MLST)

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Understanding Test Time Adaptation in Language Models

This chapter explores the distinctions between ARC models and autoregressive models, focusing on their innovative use of test time adaptation and search strategies. It further examines the performance implications and cost considerations tied to these advanced mechanisms in language modeling.

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