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Promptable transcription makes vertical-specific accuracy a developer-controlled feature
◆ 75RelevanceOn a story from Hugging Face7h ago
If your product relies on niche terminology, generic ASR is likely your biggest bottleneck. These promptable models allow you to inject context directly into the transcription layer, potentially eliminating the need for expensive post-processing LLM passes.
Takeaways
- Prompting ASR reduces the need for post-processing error correction.
- Adaptable models provide a path to superior accuracy in technical verticals.
- NVIDIA's new releases offer a high-performance alternative to generic Whisper APIs.
Read the original at huggingface.co
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
fmode.me/n/nvidia-nemotron-35-transcribe-and-granary-v2-intelligent-multilingual-transcription-you-can-prompt-and-adapt
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Hugging Face.