Power Law Formulation for LLM Loss
When modeling the performance of a Large Language Model, the loss, denoted as , is often expressed as a function of a variable of interest, . This variable can represent factors like the number of model parameters, and the loss is typically measured using metrics such as the cross-entropy loss on test data. The most straightforward mathematical form used to model this relationship is a power law.
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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
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Power Law Formulation for LLM Loss
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