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Prompt engineering on large language models (LLMs) in low-resourced language setting

Domaine:

natural language processing

Type de record:

datasetpaper
Créateur:
Pit
Hôte:avatar

The attached dataset has all the information in regard to Large Language Models (LLMs) being used in low-resource language settings. There are figures depicting the prompt structure used to improve translation of LLMs translation of low-resourced languages, more specifically, low-resourced, morphologically rich African languages. Furthermore, there are figures that depict the results of various experiments conducted in efforts to improve LLMs' translation of low-resourced languages, and there are clean evaluation datasets that can be used by other researchers to evaluate their LLMs in low-resourced language settings.

Visit

figshare.com

Tasks

machine translation

Tags

Natural language processingData engineering and data scienceTranslationPrompt engineeringLow-resourced languagesLarge language models (LLMs)In context learningSDG 4 Quality educationSDG 10 Reduced inequalities

Licenses

CC BY-SA 4.0