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Insights and updates from our research and development

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Giving Sukuma a Voice: Opening Text-to-Speech for the Edge

NileAGI opens a research preview that turns Sukuma text into speech, with quality and lite checkpoints and a live try-out.

•Zephania Reuben and Isack Odero
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Listening for Sukuma: Opening Speech Recognition for the Edge

After Swahili→Sukuma translation, NileAGI opens a research preview that turns Sukuma speech into Sukuma text, with quality and lite checkpoints and a downloadable technical report.

•Zephania Reuben and Isack Odero

All Languages Matter: Opening Swahili-to-Sukuma on the Edge

Kamusi started with Swahili. This next step opens small Swahili-to-Sukuma translators for the edge, with a live try-out and the technical report alongside.

•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. 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