For decoding human speech, it’s about three times faster.

It’s revolutionary because AI models are trained through exposure to real-world data.

AI models are trained today based on carefully annotated data.

The more difficult task of self-supervised training uses raw, unlabeled data instead.

So far, that’s an area in which humans still have an edge over computers.

Meta and other AI proponents have shown that training AI models with ever larger data sets produces better results.

Nvidia’s cutting-edge A100 chips are geared specifically for AI and other heavy-duty data center tasks.