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

Marktechpost

Techniques such as BERTSCORE and BARTSCORE employ smaller models to compute semantic similarity and evaluate texts from various perspectives. In addition to that, proxy models can predict LLM performance, reducing computational costs during model selection. KD methods can be categorized into white-box and black-box approaches.

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