Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Singh, Shivalika"'
Autor:
Üstün, Ahmet, Aryabumi, Viraat, Yong, Zheng-Xin, Ko, Wei-Yin, D'souza, Daniel, Onilude, Gbemileke, Bhandari, Neel, Singh, Shivalika, Ooi, Hui-Lee, Kayid, Amr, Vargus, Freddie, Blunsom, Phil, Longpre, Shayne, Muennighoff, Niklas, Fadaee, Marzieh, Kreutzer, Julia, Hooker, Sara
Recent breakthroughs in large language models (LLMs) have centered around a handful of data-rich languages. What does it take to broaden access to breakthroughs beyond first-class citizen languages? Our work introduces Aya, a massively multilingual g
Externí odkaz:
http://arxiv.org/abs/2402.07827
Autor:
Singh, Shivalika, Vargus, Freddie, Dsouza, Daniel, Karlsson, Börje F., Mahendiran, Abinaya, Ko, Wei-Yin, Shandilya, Herumb, Patel, Jay, Mataciunas, Deividas, OMahony, Laura, Zhang, Mike, Hettiarachchi, Ramith, Wilson, Joseph, Machado, Marina, Moura, Luisa Souza, Krzemiński, Dominik, Fadaei, Hakimeh, Ergün, Irem, Okoh, Ifeoma, Alaagib, Aisha, Mudannayake, Oshan, Alyafeai, Zaid, Chien, Vu Minh, Ruder, Sebastian, Guthikonda, Surya, Alghamdi, Emad A., Gehrmann, Sebastian, Muennighoff, Niklas, Bartolo, Max, Kreutzer, Julia, Üstün, Ahmet, Fadaee, Marzieh, Hooker, Sara
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-trained models on a diverse set of tasks that ena
Externí odkaz:
http://arxiv.org/abs/2402.06619