BUENOS AIRES, Argentina (AP) 鈥� on Tuesday launched the first open-source language model trained on the diverse cultures of , aiming to better reflect regional realities and strengthen the region鈥檚 presence in the global AI race.
Latam-GPT is the result of a two-year regional effort led by the National Center of Artificial Intelligence of Chile, CENIA, and supported by over 30 institutions across eight Latin American countries.
鈥淎rtificial intelligence is the greatest technological revolution of recent times, and from Latin America and the Caribbean, it is strategic and urgent that we play a role,鈥� said Tuesday after the launch, noting that the new system will be key to adding Latin American data and identity to AI.
Announced at the February 2025 Artificial Intelligence Action Summit in Paris, the project launched in early 2023 to address linguistic biases in models trained primarily on English data. Rather than competing directly with consumer tools like or , Latam-GPT acts as a foundational infrastructure for future regional applications.
鈥淟atam-GPT is trained with a proportion of Latin American data that previously did not exist online and was not included in existing models,鈥� said Rodrigo Dur谩n, executive director at CENIA. 鈥淭his allows for more accurate, correct and efficient performance when it comes to Latin America and the Caribbean.鈥�
Latam-GPT is trained on data from private sources obtained through strategic partnerships across the region, as well as synthetic data used to address areas identified as underrepresented, said Gabriela Arriagada, a researcher at CENIA and head of the project鈥檚 ethics team. Developing Latam-GPT required collecting more than eight terabytes of data, equivalent to millions of books.
鈥淲hen we talk about incorporating Latin American culture, we are referring to a training approach designed to address data that reflects cultural realities, identifying where gaps exist in other models, understanding their shortcomings, and gradually building knowledge to improve that representation,鈥� Arriagada added.
Latam-GPT is a 鈥渧ery important milestone for Latin America,鈥� as it contains data that captures each country鈥檚 particularities, said Luis Chiruzzo, an engineering professor at the University of the Republic in Uruguay not involved with the project.
鈥淭hat provides some assurance that, at the very least, everyone is included in the training,鈥� Chiruzzo added.
For now, the project will operate primarily in Spanish and Portuguese, with plans to incorporate Indigenous languages in later stages.
The development of Latam-GPT means the region now has the technical capacity to build AI models, according to Dur谩n, the executive director at CENIA.
鈥淭he fact that Latin America has come together to form a collaborative group is a very positive sign. It shows that Latin America can develop and understand how to create this technology, which also has important implications for regulation, because you cannot regulate something you do not understand,鈥� he added.
Chiruzzo believes it will be difficult for Latam-GPT to compete with larger corporations with greater resources.
鈥淪till, it鈥檚 an important step forward and will make it possible to start positioning ourselves in the world of language models with our own voice,鈥� Chiruzzo said.
The race for AI leadership has led countries to rethink their policies and initiatives for developing AI technologies. The United States, China and the European Union have more than half the world鈥檚 most powerful data centers to develop and support AI systems, according to data published by Oxford University. Africa and South America have almost no AI hubs, according to the report.
Chile has been racing to expand its role in the AI boom over the past few years by attracting new talent and building new data centers. In June last year, President Boric said in his State of the Union speech that the country must embrace AI, adding that a 鈥渃ountry that does not invest in artificial intelligence risks falling behind in tomorrow鈥檚 global landscape.鈥�
Latam-GPT was developed with just $550,000 in funding from CENIA鈥檚 budget and the Development Bank of Latin America (CAF). The team used Amazon Web Services鈥� cloud to develop its first version, which will be launched at the end of February. The subsequent versions will be trained on a supercomputer at the University of Tarapac谩 in northern Chile, which costs about $4.5 million, starting in the first semester of 2026.
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