January 2026
Fine-Tuning Llama 3.1 for African Languages: A Technical Deep Dive
How we adapted a state-of-the-art LLM for a low-resource Bantu language using QLoRA, synthetic data, and noise injection.

We are building high-fidelity text and voice AI models for low-resource African languages.
Our mission is to bridge the AI gap, enabling millions to interact with technology in their native tongue.
For more information, please visit our research, blog, or about page, or contact hello@c-elo.com
Talk to our AIC-elo Labs is an AI research organization pioneering high-fidelity language models for underserved African languages. We focus on Kikuyu, Kamba, Luo, and other African languages, building both text chatbots and real-time voice AI systems.
Our team combines expertise in NLP, speech synthesis, and cross-lingual transfer learning to create AI that speaks, listens, and responds in native African languages.
Learn more about usOur research focuses on fine-tuning LLMs for African languages using advanced techniques like QLoRA and synthetic data generation, plus building Speech-to-Speech models with the Mimi neural codec.
We collaborate with initiatives like African Next Voices and Masakhane to create robust datasets and push the boundaries of low-resource language AI.
Explore our researchJanuary 2026
How we adapted a state-of-the-art LLM for a low-resource Bantu language using QLoRA, synthetic data, and noise injection.
December 2025
Our roadmap for creating real-time voice chatbots using the Mimi codec and Llama-Omni architecture.
November 2025
Why agriculture and healthcare are the ideal verticals for launching AI-powered services in native African languages.