Computational Semantics, Data Scarcity and Explainability

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

Marktechpost

SEPTEMBER 15, 2024

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.

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BERT LLM Large Language Models Categorization

Artificial Intelligence Zone

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

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