LatAm-GPT Aims to Preserve Latin American Culture and Indigenous Languages
LatAm-GPT is a new language model rooted in Latin American culture, aiming to enhance regional accuracy in AI through a large dataset reflecting local languages and cultural nuances. It strives to preserve Indigenous languages and addresses limitations in existing AI models, which often lack local context and accuracy.
BUENOS AIRES - CENIA's LatAm-GPT, a groundbreaking language model, aims to encapsulate the diverse culture and languages of Latin America. Developed with input from over 30 regional institutions, the model addresses shortcomings in mainstream AI systems, which often fail to capture local nuances accurately.
Trained on nearly 3 million documents in Spanish, Portuguese, and English, LatAm-GPT prioritizes regional data over global datasets. It stands apart from models like ChatGPT by focusing on quality and relevance, not sheer size. Particularly, it aims to serve educational needs and local applications that require precise understanding of regional affairs.
This initiative is part of a global trend toward creating AI systems tailored to local needs, with projects underway in countries like the UAE, India, and South Korea. LatAm-GPT reflects growing political will for AI collaboration and is a significant step in ensuring emerging economies are not left behind in the AI race.
(With inputs from agencies.)
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