Chile Unveils Latam-GPT: A Pioneering AI Model for Latin America
In a landmark move for technological advancement in the region, Chile has officially launched Latam-GPT, the first open-source artificial intelligence language model specifically trained on the diverse cultures of Latin America. Announced on Tuesday, this initiative aims to better reflect regional realities and strengthen Latin America's position in the global AI race, addressing long-standing linguistic and cultural biases in existing models.
A Collaborative Regional Effort
Latam-GPT is the culmination of a two-year regional project led by Chile's National Center of Artificial Intelligence (CENIA), with support from over 30 institutions across eight Latin American countries. Chilean President Gabriel Boric emphasized the strategic importance of this development, stating, "Artificial 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." He highlighted that the new system will be crucial for integrating Latin American data and identity into AI technologies.
Addressing Data Gaps and Biases
The project, first announced at the February 2025 Artificial Intelligence Action Summit in Paris, was initiated in early 2023 to combat biases in AI models predominantly trained on English data. Unlike consumer tools such as ChatGPT or Google Gemini, Latam-GPT serves as foundational infrastructure for future regional applications. Rodrigo Durán, executive director at CENIA, explained, "Latam-GPT is trained with a proportion of Latin American data that previously did not exist online and was not included in existing models. This allows for more accurate, correct, and efficient performance when it comes to Latin America and the Caribbean."
Data Collection and Cultural Integration
Developing Latam-GPT involved collecting over eight terabytes of data, equivalent to millions of books, sourced from private partnerships and synthetic data to address underrepresented areas. Gabriela Arriagada, a CENIA researcher and head of the project's ethics team, noted, "When 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."
Regional Significance and Future Plans
Luis Chiruzzo, an engineering professor at the University of the Republic in Uruguay, praised Latam-GPT as a "very important milestone for Latin America," as it captures each country's unique particularities, ensuring inclusivity in AI training. Initially, the model will operate in Spanish and Portuguese, with plans to incorporate Indigenous languages in later stages. Durán added that this development demonstrates Latin America's technical capacity to build AI models, fostering collaboration and understanding crucial for regulation.
Challenges and Global Context
Despite its significance, Chiruzzo acknowledged that competing with larger corporations with greater resources will be challenging for Latam-GPT. However, he emphasized, "Still, it's an important step forward and will make it possible to start positioning ourselves in the world of language models with our own voice." This launch comes amid a global AI race, where regions like the United States, China, and the European Union dominate with over half of the world's most powerful data centers, while Africa and South America have minimal AI hubs.
Funding and Infrastructure
Latam-GPT was developed with a modest budget of $550,000 from CENIA and the Development Bank of Latin America (CAF). The first version, built using Amazon Web Services' cloud, will launch at the end of February. Subsequent versions will be trained on a $4.5 million supercomputer at the University of Tarapacá in northern Chile, starting in the first semester of 2026. Chile has been actively expanding its AI capabilities, with President Boric urging investment in AI to avoid falling behind in the global landscape.
