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NileAGI

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Research and product notes on African-language AI, edge intelligence, and human-level intelligence.

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Introducing Rafiki | Our First Swahili Voice Assistant

Rafiki is our first voice assistant for Kiswahili. Talk with it, hear the answer, and keep the conversation going.

•NileAGI Team

All Articles

Runyambo Beside Swahili: Lexical Translation Both Ways

Swahili and Runyambo, both ways, for a word or a short phrase. You can try it in the lab.

•Zephania Reuben and Isack Odero

Speaking Kiswahili Back: Swahili Text-to-Speech

Write a line of Kiswahili and hear it spoken. The weights are on Hugging Face, and you can try it in the post.

•Zephania Reuben and Isack Odero

Hearing Kiswahili: Swahili Speech-to-Text

Bring a clear clip of Kiswahili and read what was said. The model is on Hugging Face, and you can try it in the post.

•Zephania Reuben and Isack Odero

Giving Sukuma a Voice: Text-to-Speech for Everyday Machines

Paste Sukuma, hear it come back. Quality and lite voices for everyday machines, with a live try-out.

•Zephania Reuben and Isack Odero

Listening for Sukuma: Speech-to-Text Without a Pivot

Turn Sukuma speech into Sukuma text. Quality and lite checkpoints you can try live, without routing the voice through another language first.

•Zephania Reuben and Isack Odero

All Languages Matter: Swahili ↔ Sukuma Machine Translation

Kamusi started with Swahili. NileAGI’s Sukuma MT loop now covers Swahili ↔ Sukuma for everyday machines, with a live try-out and technical notes.

•Zephania Reuben and Isack Odero

NILEAGI-SUB: Measuring Swahili Understanding Where It Matters

We open SUB-MCQ EDUCATION: 2,569 Swahili school items, eight compact open models, and a sector-first evaluation programme featured in the Cohere Labs Open Science Community.

•Zephania Reuben and Isack Odero

Introducing LAI: Language Intelligence Platform for Culturally Aware AI

Announcing the Language Intelligence (LAI) Platform, a community-driven data collection and validation ecosystem designed to preserve languages and produce high-quality datasets for culturally aware AI systems.

•Zephania Reuben and Isack Odero

Breaking Free from Cloud Dependencies: The Delta CLI and Web UI

Exploring real-world use cases and the transformative power of offline AI with Delta CLI.

•Zephania Reuben and Isack Odero

NileAGI Builders' Space: Accelerating an Open AI Ecosystem

Accelerating an Open AI Ecosystem. Join us in building the future of accessible machine intelligence.

•Zephania Reuben and Isack Odero

Introducing lm.c: A CPU Inference Engine for LLMs

A C99-based CPU inference engine enabling large language models to run with high efficiency and zero dependencies across all CPU architectures.

•Zephania Reuben and Isack Odero

Ellipse: An Efficient Deep Learning Framework for Low-Resource Environments

A minimalistic high-performance AI engine written in C, designed for accessibility and efficiency in resource-constrained environments.

•Zephania Reuben and Isack Odero

Delta: A Deep Dive into Accessible AI

Exploring how Delta CLI is transforming AI accessibility, particularly for regions with limited hardware resources.

•Zephania Reuben and Isack Odero