Latam-GPT is an open-source large language model developed by the nonprofit Chilean National Center for Artificial Intelligence (CENIA) for Latin America and the Caribbean. The initiative seeks technological independence by creating a model attuned to regional languages, dialects, historical context, and cultural specificities. Development has followed a collaborative, largely bottom-up approach over two years, with growing governmental participation. Thirty-three strategic partnerships produced a training corpus exceeding eight terabytes of text, enabling a 50-billion-parameter model comparable to GPT-3.5. The model targets medium-to-high capabilities in reasoning, translation, and associations while prioritizing regional relevance over direct competition with major global firms.
Latam-GPT is a project that seeks to create an open, free, and, above all, collaborative AI model. We've been working for two years with a very bottom-up process, bringing together citizens from different countries who want to collaborate. Recently, it has also seen some more top-down initiatives, with governments taking an interest and beginning to participate in the project.
We're not looking to compete with OpenAI, DeepSeek, or Google. We want a model specific to Latin America and the Caribbean, aware of the cultural requirements and challenges that this entails, such as understanding different dialects, the region's history, and unique cultural aspects,
Thanks to 33 strategic partnerships with institutions in Latin America and the Caribbean, the project has gathered a corpus of data exceeding eight terabytes of text, the equivalent of millions of books. This information base has enabled the development of a language model with 50 billion parameters, a scale that makes it comparable to GPT-3.5 and gives it a medium to high capacity to perform complex tasks such as reasoning, translation, and associations.
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