Balancing Efficiency and Performance in NLP: A Cross-Comparison of Shallow Machine Learning and Large Language Models via AutoML.

Autor:	Estevanell-Valladares, Ernesto L., Gutiérrez, Yoan, Montoyo-Guijarro, Andrés, Muñoz-Guillena, Rafael, Almeida-Cruz, Yudivián
Předmět:	LANGUAGE models MACHINE learning CARBON emissions SUSTAINABILITY ECOLOGICAL impact NATURAL language processing
Zdroj:	Procesamiento del Lenguaje Natural; sep2024, Vol. 73, p221-233, 13p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu