Bryan Catanzaro

AV-Flamingo outperforms existing models on complex audio-visual tasks, revealing that size isn't everything when it comes to reasoning capabilities.

Audex achieves state-of-the-art audio understanding and generation while maintaining the reasoning prowess of its text-only foundation, all through a unified architecture.

Achieving 2.42X faster generation without sacrificing quality, Nemotron-TwoTower redefines the efficiency of language modeling.

Achieving six times the inference throughput of current LLMs while maintaining accuracy, Nemotron 3 Ultra redefines performance benchmarks for agentic reasoning tasks.

Multimodal models can now achieve state-of-the-art performance in real-world tasks like document understanding and audio-video comprehension with significantly reduced inference latency thanks to novel token-reduction techniques.

Audio-language models can now reason about 30-minute-long audio clips with timestamp-grounded intermediate steps, unlocking a new level of fine-grained understanding.

A 30B MoE model can now achieve Gold Medal-level performance in IMO, IOI, and ICPC, rivaling frontier models with 20x more parameters.

Forget hand-crafted datasets: a new synthetic data pipeline lets smaller LLMs beat giants at terminal tasks.

A 3B parameter model, Audio Flamingo 2, now rivals larger proprietary models in audio understanding and reasoning, even handling audio segments up to 5 minutes long.