Box taps Nvidia’s Nemotron for new agent-first content retrieval system | TechCrunch
The system can answer queries four times faster, with 20% fewer errors and 90% fewer tokens used.
The system can answer queries four times faster, with 20% fewer errors and 90% fewer tokens used.
Nvidia's open-weight Nemotron 3.5 Transcribe handles 40 languages, translation and speaker labels in one model and comes with a 463,062-hour audio dataset.
Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.