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Results for “real-time voice applications”

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AgentsSep 28, 20261 min read

Build real-time voice apps with vLLM-Omni on SageMaker AI updates

This update shows how to deploy a text-to-speech model on SageMaker AI using vLLM-Omni. It streams speech over a WebSocket connection.

From AWS machine learning blog

LLMsAug 10, 20261 min read

NVIDIA Magpie TTS Enables Low-Latency Multilingual Voice Agents

Hugging Face and NVIDIA Magpie TTS offer open-weights for building low-latency multilingual voice agents. Engineers gain full deployment control and optimized inference performance for real-time voice applications.

From Hugging Face blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

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