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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

Researchers from Imperial College London and Soda, Inria Saclay have presented the analysis of HuggingFace downloads which reveals that smaller models, especially BERT-base, remain highly popular in practical settings. In addition to that, proxy models can predict LLM performance, reducing computational costs during model selection.

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