Day 4 of the Connected Africa Summit 2025 delivered a major highlight with an innovative showcase on the application of Llama by Meta AI, its open-source large language model, through a live demo with the FoondaMate app.
The event, held at the Diamonds Leisure Beach & Golf Resort in Diani, Mombasa, continued to spotlight the continent’s growing influence in shaping the future of AI, digital education, and inclusive tech ecosystems.
Meta’s session stood out by illustrating how its Llama 3 model can be integrated into everyday learning tools to make artificial intelligence more accessible for African students.
In collaboration with FoondaMate, a popular chatbot-based learning assistant widely used by students across Africa, the demonstration showcased how generative AI can empower learners with on-demand academic support via platforms they already use, like WhatsApp and Telegram.
FoondaMate, co-founded by South African innovators, allows students to ask questions, access past papers, and receive explanations in real time.
By integrating Llama into this experience, Meta AI hopes to enhance the quality and contextual relevance of responses. During the demo, attendees watched as a student queried FoondaMate for help with a complex maths problem.
The chatbot, powered by Llama, responded clearly, step by step, and in conversational language. The same functionality was shown handling language-based subjects, offering explanations in multiple languages, including Swahili and French.
Meta Africa’s policy team emphasized that this showcase was more than a tech demo. It indicates their broader commitment to building responsible, inclusive AI that is locally relevant.
They also stressed that open models like Llama enable local developers and startups to innovate without being locked into costly proprietary ecosystems.
The session drew a lot of interest from educators, developers, and policymakers who see AI not as a futuristic luxury but as an urgent solution to bridge learning gaps in under-resourced communities.
Meta announced plans to collaborate with more local partners in adapting Llama to other use cases such as agriculture, small business tools, and healthcare.
