Hugging Face published a tutorial for running Reachy Mini conversations without cloud audio processing or API keys. The setup uses its speech-to-speech library as a cascaded VAD, STT, LLM, and TTS pipeline exposed through a Realtime API-compatible WebSocket. Recommended defaults include llama.cpp with Gemma 4, Silero VAD, Parakeet-TDT, and Qwen3-TTS, while allowing swaps to vLLM, MLX, Transformers, or hosted Responses API providers.
In today's software development workflows, AI coding assistants have become a critical tool for boosting developer productivity. However, for many enterprises…
### Background and Enterprise Pain Points The widespread adoption of AI coding assistants like GitHub Copilot has significantly boosted developer productivity…
France's Commission Nationale de l'Informatique et des Libertés (CNIL — France's personal data protection authority) has announced that it has selected Hugging…
As privacy awareness grows and regulatory requirements tighten, training machine learning models without centralizing sensitive data has become a critical…
As privacy awareness grows and regulations tighten, performing inference with cloud AI models while protecting user privacy has become a significant challenge…