Example

Recurrent Models for Continuously Expanding Context

Recurrent models and their variants exemplify the fixed-size memory approach for processing continuously expanding context. They are inherently suited for modeling time series problems, where the effects of past inputs continue indefinitely, by summarizing sequences into a fixed-size set of hidden states and maintaining a constant computational cost per step.

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Updated 2026-04-29

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Ch.2 Generative Models - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences