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The article examines the potential of gzip, a standard compression tool, to function as a language model without neural networks. By analyzing how gzip compresses data, the author explores its ability to generate text based on a given corpus and discusses the challenges and improvements in generating coherent output using a beam search method.
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The article examines the potential of gzip, a standard compression tool, to function as a language model without neural networks. By analyzing how gzip compresses data, the author explores its ability to generate text based on a given corpus and discusses the challenges and improvements in generating coherent output using a beam search method.
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Can gzip be a language model?
Exploring gzip as a Language Model