adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds

The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs) has spawned innovation in many areas of natural language processing. Despite the exciting potential of this technology, its impact on developing high-quality Machine Translation (MT) outputs for low-resource language...

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Bibliografiske detaljer

Principais autores:	Séamus Lankford, Haithem Afli, Andy Way
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-11-01
Serier:	Information
Fag:	MLLMs LLMs multilingual language models large language models low-resource languages neural machine translation
Online adgang:	https://www.mdpi.com/2078-2489/14/12/638
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