The Nigerian government has launched the country’s first multilingual large language model (LLM) that will reflect its diversity and play a major role in its national artificial intelligence (AI) strategy.
Communications, Innovation and Digital Economy Minister Bosun Tijani announced the new LLM at the National Artificial Intelligence Strategy Workshop.
The new LLM will be trained in five “low-resource local languages and accented English to ensure stronger language representation in existing datasets for the development of artificial intelligence solutions.”
The language model is the product of a partnership between the government and the private sector. Awarritech, a local AI firm, and Data.org, a global data democratization initiative by Mastercard (NASDAQ: MA) and the Rockefeller Foundation, represent the private sector. The National Information Technology Development Agency (NITDA) and National Centre for Artificial Intelligence and Robotics (NCAIR) represented Nigeria’s government in the development of LLM.
Additionally, the government relied on over 7,000 fellows from its 3MTT Nigeria program, which targets 3 million graduates who are fully proficient in technical courses, from AI and cybersecurity to cloud computing and machine learning.
One of the greatest challenges facing AI is bias. While policies can help reshape AI to be more inclusive, diversity in AI input will have a greater impact. One key solution is to develop localized LLMs that incorporate language and cultural nuances, resulting in AI that promotes connections globally.
In addition to the new LLM, Tijani announced the launch of the Nigeria AI Collective, a community of industry players pushing for AI development.
“We are inviting AI researchers, practitioners, academia, government, civil society organisations, startups, entrepreneurs, students and AI enthusiasts in general to join the collective to harness the power of artificial intelligence,” the minister said.
Tijani further relaunched the NCAIR, a subsidiary of NITDA focused on developing the two sectors.
By Steve Kaaru, CoinGeek
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