person

Francesco Ciannella

NVIDIA senior engineer working on conversational AI and audio-language models, with earlier work in telecommunications engineering at the University of Rome La Sapienza and language technologies at Carnegie Mellon University.

Current clusters

build2 publishers

An evaluation-only preview licence gates NVIDIA's top-ranked diarization model

NVIDIA reports a 14.72% diarization error rate for the 100M-parameter Nemotron 3 Diarization, first on Voice Arena's initial leaderboard. Its Hugging Face preview page confines the weights to internal testing and evaluation.

Publishers:huggingface.coruntimewire.com

Reality

Evidence54
Adoption16
Hype gap+32
Incentives78
Confidence63