Core AI

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   Mattt releases Swift packages for on-device speech and decisions

   Mattt announced AnySpeechRecognizer and AnyDecisionModel, two Swift packages for Apple platforms. AnySpeechRecognizer mirrors Apple’s speech-to-text API, supports selectable engines such as NVIDIA Parakeet and Alibaba Qwen3-ASR running locally through Core ML, and adds speaker diarization. AnyDecisionModel returns typed answers and probabilities for yes-or-no, multiple-choice, and rating-scale questions, using on-device models through MLX, Core AI, or llama.cpp, or decision models from Jev or Ollama. The packages can download open models from Hugging Face. Reported speed, memory, and word-error-rate results came from one machine and a few datasets; testing was limited to macOS 27, with no iPhone results.

   Hugging Face · 🔥 0

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