We developed a theory that explains why these scaling laws are so bad. The basic idea is that large random datasets are incredibly redundant. If you already have billions of data points,
Can AI Match the Human Brain? | Surya Ganguli | TED · TED
3 examples from real videos — listen, replay, loop.
We developed a theory that explains why these scaling laws are so bad. The basic idea is that large random datasets are incredibly redundant. If you already have billions of data points,
Can AI Match the Human Brain? | Surya Ganguli | TED · TED
We developed a theory that explains why these scaling laws are so bad. The basic idea is that large random datasets are incredibly redundant. If you already have billions of data points,
Can AI Match the Human Brain? | Surya Ganguli | TED · TED
Then, as for training students, you need books, lectures, examples, for training large language models you need datasets. And for our study we considered three datasets,
What if AI Could Spot Your Lies? | Riccardo Loconte | TED · TED
But this is harder and harder to believe in a world in which there is such a range of datasets that you can access with permission.
How AI Models Steal Creative Work — and What to Do About It | Ed Newton-Rex | TED · TED