TalkRL: The Reinforcement Learning Podcast cover image

Sharath Chandra Raparthy

TalkRL: The Reinforcement Learning Podcast

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Properties of Data for In Context Learning

This chapter explores the properties of data, specifically in the context of language as a data modality. It discusses the Zipfian distribution of word frequencies, burstiness along the temporal axis, and how these properties can enable in context learning emergence.

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