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9 results for “industry insights”
The index tells you. So if you hit the top category that's one of those licenses, you're totally good. And then we've got, some lower categories for when attribution is required, and then when commercial use is not allowed. Yeah. They're there. So th
57:51 / 58:54
from transcript57:51 – 58:54
...the industry, like a couple that you just mentioned. It's also got a couple of agentic datasets. It's got our own long context reasoning dataset and some other use case focused stuff. As time goes on, the things that we're most interested in that are
19:35 / 20:41
from transcript19:35 – 20:41
And so, again, I kinda just view this roughly on trend, and maybe it's a little bit better, and they've come up with some advanced techniques, which, you know, they absolutely have. But it does feel to me a little bit overstated from the perspective
5:16 / 6:30
from transcript5:16 – 6:30
...b to b industry in hospitality, that involves the learning and development, team. Mhmm. Then I explain the problem, and then I finish with now ask me one question at a time, waiting for my answer in between to help me think through I can how I can pu
12:41 / 13:50
from transcript12:41 – 13:50
That's the most common misconception. And people want that so much that people do sell it, but it doesn't work. So that's the first one. Shoot. Many humans still great. I think that's a great news. The second one that, you know, I see a lot is, hey,
1:24:45 / 1:25:48
from transcript1:24:45 – 1:25:48
sophisticated with the data analysis. There's lots of different ways to sample, look at data. We kind of made it look easy in a sense, but there's a lot of skills here to do to it well. You know, building an intuition and a nose for how to sort throu
1:06:47 / 1:07:51
from transcript1:06:47 – 1:07:51
And you see that for a variety of different areas, these models have been growing closer and closer in performance. And there's different aspects of reasoning and knowledge, scientific reasoning and knowledge, quantitative reasoning and math, coding,
6:04 / 7:11
from transcript6:04 – 7:11
You and I were just talking about these artificial analysis charts, showing convergence, like, kind of monotonically more competitive market for, capabilities and amazing improvement over the last eighteen, twenty four months. But you just had the mo
9:42 / 10:54
from transcript9:42 – 10:54
whole list. And I think, personally, I've trained five of the 100 biggest company group c suites. So it's been a weird year. Georgia. Well, first of all, I think anybody who claims to be an expert on AI is lying. So let me preface with that. You know
1:31 / 2:30
from transcript1:31 – 2:30
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