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Podcast: Arxiv Papers
Episode: [QA] Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Description:
This study explores LLaMA-2's in-context learning for probability density estimation, revealing unique learning trajectories and interpreting its behavior as adaptive kernel density estimation.
https://arxiv.org/abs//2410.05218
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