Neil Zeghidour

Adaptive compute allocation in zero-shot learning can match or exceed supervised performance while halving compute costs, even in complex domains like respiratory audio classification.

Full-duplex speech models can now achieve the factuality of much larger models without sacrificing real-time interactivity, thanks to asynchronous knowledge retrieval.