As promised, here is the GitHub link for my 100% local voice-to-voice assistant
A privacy-focused, fully offline voice assistant called Athena has been released on GitHub, running entirely on local hardware with a mixture-of-experts model.
- Athena is a fully offline voice assistant released on GitHub, ensuring no cloud dependency for voice processing.
- The project uses a mixture-of-experts model, which may improve efficiency and modularity in handling voice commands.
- This is an open-source release, allowing developers to inspect, modify, and contribute to the codebase.
- The developer cited personal commitments as the reason for the delayed release of the code.
A developer named Igor Barshteyn has released Athena, a fully offline voice assistant designed for privacy and local operation. The project, now available on GitHub, combines a mixture-of-experts model to handle voice interactions without relying on cloud services. This release follows earlier previews and addresses previous delays in publishing the code.
Athena is positioned as a privacy-first alternative to cloud-based voice assistants, running entirely on local hardware. The mixture-of-experts architecture suggests a modular approach to handling different types of voice commands, potentially improving efficiency and reducing latency. The project is aimed at users who prioritize data privacy and want to avoid cloud dependencies for voice processing.
Source: As promised, here is the GitHub link for my 100% local voice-to-voice assistant. Read the full piece at the source.
Provides an open-source framework for building privacy-first voice assistants using local LLMs.
Offers a privacy-focused alternative to cloud-based voice assistants.
- mixture-of-experts
- A machine learning model architecture that uses multiple specialized sub-models (experts) to handle different parts of a task, improving efficiency and performance.
