future-of-work skills
Language Model Challenge: Participants created a next-word prediction model for Bamanankan text
The event garnered significant engagement, with almost 19,000 unique visitors on the website, more than 6,000 registrations to the different activities, and almost 4,000 in-person visits at the CICB venue, during the five days period.
Primary evidence
Language Model Challenge: Participants created a next-word prediction model for Bamanankan text, advancing natural language processing capabilities for Mali's most widely spoken language.
The event garnered significant engagement, with almost 19,000 unique visitors on the website, more than 6,000 registrations to the different activities, and almost 4,000 in-person visits at the CICB venue, during the five days period.
Supporting evidence
During the event, participants initiated more than a thousand conversations with the AI Mentor
24% of participants improved their technical skills in AI, 3D printing, and AR/VR.
Related public source: Kabakoo monthly update — June 2026.