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Recent research has revealed a compelling trend in the realm of language modeling: scaling laws. These laws articulate a remarkable correlation between model size and performance on a variety of natural language processing tasks. As models grow larger, encompassing millions or even billions of parameters, their capabilities enhance significantly. T