Attention in LLMs and Extrapolation
It is now understood that the attention mechanism in large language models (LLMs) serves multiple functions. By analyzing attention, we gain insight into why LLMs succeed at in-context learning and chain-of-thought—and, consequently, why LLMs sometimes succeed at extrapolation. In this article, we aim to unpack this question by observing various types of attention mechanisms. Basic […]
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