FEATURE: LATAMGPT
LATAMGPT SEEKS TO BROADEN THE CONVERSATION ABOUT AI. IT INVITES LATIN AMERICA TO SEE ITSELF REFLECTED IN A TECHNOLOGY THAT HAS TOO OFTEN OVERLOOKED IT.
Challenges ahead
The road to building such a model is not without obstacles. Collecting and curating data is a delicate process, requiring respect for intellectual property and sensitivity to cultural contexts. Including indigenous languages involves not only technical work but also collaboration with the communities speaking those languages.
Infrastructure is another challenge. Training large models requires supercomputing power and Latin America’ s resources in this area are acknowledged as limited. Partnerships with universities and public institutions are helping to bridge the gap, but the scale of investment needed is significant.
38 INTELLIGENTCIO LATAM www. intelligentcio. com