【非洲科技·非洲】Building African-language AI is easier than finding the data

aipl1234

#非洲

中文导读

行业领域 (Verticals) 创业公司 (Startups) 生活与职场 (Life and Work) 财经 (Money) 企业与政策 (Enterprise/Policy) 专栏 (Columns) 投资者问答 (Ask an Investor) 焦点关注 (Centre Stage) 咖啡访

关注我们：
X (X平台)
LinkedIn (领英)
TikTok (抖音国际版)
WhatsApp (瓦次普)
Facebook (脸书)
Instagram (照片墙)
YouTube (优兔)

LinkedIn (领英)
TikTok (抖音)
WhatsApp (瓦茨阿普)
Facebook (脸书)
Instagram (照片墙)
YouTube (优兔/油管)
Verticals (垂直领域)

市场情报仪表盘



原文原文 / Original Text

Verticals StartupsLife and WorkMoneyEnterprise/Policy Columns Ask an InvestorCentre StageCoffee WithDay 1-1000Delve into AIDigital NomadsFollow the MoneyJourneysMy Life in TechNewsletter

XLinkedInTikTokWhatsAppFacebookInstagramYouTubeFollow us

XLinkedInTikTokWhatsAppFacebookInstagramYouTubeVerticals

Market Intel Dashboard

When Vambo AI, a Johannesburg-based artificial intelligence (AI) model builder, set out to build MORENA, a 1.5-billion-parameter model covering 12 African languages, it had access to a supercomputer through a United Nations Development Programme (UNDP)-backed programme. It had the graphics processing units (GPUs), specialised chips that power AI computing, but struggled to find enough real African-language text.

 “Finding that much real data was close to impossible, so a lot of it was synthetic,” Isheanesu Misi, Vambo’s co-founder and chief technology officer (CTO), told TechCabal in an interview on Monday.

The shortage of African-language text data threatens to limit the development of AI tools that reflect the continent’s linguistic diversity. Without enough high-quality data, developers risk building AI products that perform poorly in local languages, leaving millions of potential users underserved. 

MORENA was trained on 251.7 billion tokens, including 65.6 billion African-language tokens, according to its model documentation. The model covers languages such as ChiShona, Kiswahili, Hausa, Yorùbá, Igbo, isiZulu, isiXhosa, Kinyarwanda, Setswana, Afrikaans, isiNdebele and Nigerian Pidgin, alongside English, French and code.

本文为英文资讯，中文内容由机器翻译生成，仅供参考。详情请阅读文末原文。

—— 资讯转载说明 ——
本文由非洲论坛根据公开信息整理，供中国读者查阅，不代表本站立场。
来源：TechCabal Africa (https://techcabal.com/)
原文链接：https://techcabal.com/2026/09/28/africa-ai-models-data-training-gap/
转载请遵守原发布方版权与引用规定。