May 14, 2024, 4:49 a.m. | Mihai Masala, Denis C. Ilie-Ablachim, Dragos Corlatescu, Miruna Zavelca, Marius Leordeanu, Horia Velicu, Marius Popescu, Mihai Dascalu, Traian Rebedea

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.07703v1 Announce Type: new
Abstract: In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English. Hence, their performance in English greatly exceeds their performance in other languages. This document presents our approach to training and evaluating the first foundational and chat LLM specialized for Romanian.

abstract arxiv cs.cl data english human human-like language language models large language large language models llama llama 2 llms multilingual performance report tasks technical training training data type while

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