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7 results for “ai models”
As you might know, the mission of, all of DeepMind is to build AI responsibly to benefit humanity. And the way our particular team has been doing it for years now is to look for ways how AI can discover new algorithms. New algorithms are everywhere a
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from transcript1:26 – 2:39
...segment models and coding agents are, getting much better in their understanding of code, they're not perfect. Right? So they do make mistakes. The other sort of element is to think about what is the task that these agents have been assigned.
16:28 / 17:41
from transcript16:28 – 17:41
...models is, I think, OpenAI's name for this. They had this new API in the fall, which they called the reinforcement fine tuning API. This is the idea that you use the techniques of reinforcement learning, which is a whole framework of AI. There's a de
26:52 / 28:10
from transcript26:52 – 28:10
we now have a thinking machine. But, that was just a more anecdotal inspiration. The field really began in the fifties, when computer scientists came together and look at how we can use computer programs and algorithms to, to build these programs tha
12:00 / 13:02
from transcript12:00 – 13:02
that you're always better off when you're trying to solve an AI problem, taking a general learning approach that can scale with computation because it ultimately proves to be the most effective. And the alternative would be something that's much more
21:44 / 22:53
from transcript21:44 – 22:53
But, you know, basically, I remember from that time, that was sort of in one of the multi you know, there's been what, five five, six, eight AI winters, as they say, sort of boom bust cycles where people have made claims that there's, like, you know,
5:48 / 8:27
from transcript5:48 – 8:27
I wonder if Alan Turing is around today and you ask him to contrast AI versus AGI. He might just shrug and said, well, I asked the same question back in nineteen forties. So so I don't wanna get get onto a rabbit hole of defining AI versus AGI. I fee
25:28 / 26:30
from transcript25:28 – 26:30
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