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11 results for “vertical ai”
So you made the enormously expensive, ridiculous, oversized, hard to use thing, and then simply let that train the smaller model, which is cheaper, faster, easier to run, and therefore was a better fit for a GPU cluster you might find at a bank versu
8:11 / 9:16
from transcript8:11 – 9:16
Head to atlascian.com/startup/twist to see if you qualify for 50 free seats for twelve months. Vappy, add real time AI powered voice conversations to your apps or business in minutes, not months. Go to vappy.ai/twist and get a thousand minutes free p
1:27 / 2:34
from transcript1:27 – 2:34
Hyundai owned Boston Dynamics stunned audiences by unveiling the latest generation of its Atlas robot, which now uses Google DeepMind AI to perform complex fluid tasks without human guidance. LG introduced the Cloyd Home Assistant, a household humano
0:45 / 1:53
from transcript0:45 – 1:53
are good at identifying deal terms or novelty or etcetera. There's semantic meaning of these terms. But what did you actually build, and what do you actually employ in your technology? Yeah. So we were started in 2022. So we're what you would call AI
29:13 / 30:22
from transcript29:13 – 30:22
There's a lot of term agent applied to things like Apple Intelligence, which we still don't have after the last WWDC, which is orchestrating between apps. And that tool use thing is something that language models can do really well. Apple intelligenc
4:32:07 / 4:33:15
from transcript4:32:07 – 4:33:15
just came out of stealth, and it's going to help kind of bridge the difference between AI systems and the real world. Companies like Periodic Labs, Emerald Cloud Lab, and Radical AI are also working in this area. But the idea is to help bits and byte
1:02:56 / 1:04:02
from transcript1:02:56 – 1:04:02
And it's like, that is the thing that a Chinese company with mediumly strong export controls, there will always be loopholes, might not be able to do at all. And if that the main result for o three is also a spectacular coding performance and if that
1:17:13 / 1:18:16
from transcript1:17:13 – 1:18:16
...vertical by vertical, there's increasing complexity and challenges to being best in class at any of those. And I think if you look at horizontal foundation model labs and then try to place them on each of these axes in terms of how much work and effo
35:12 / 36:18
from transcript35:12 – 36:18
...at a vertically integrated company that have an end product InfraX, you will be working on a obstruction of horizontal layer. And this is similar to operating system, databases, and different kinds of abstraction that people have built over the years
39:27 / 40:48
from transcript39:27 – 40:48
So developers actually had their ChatCha BT moment at least twelve to eighteen months months before everybody had their ChatChibuty moment on the consumer side. And so very similarly, Cursor, Windsurf, Replit, these products are now having their AI a
5:59 / 7:02
from transcript5:59 – 7:02
It's it's clear if you're looking for a lot of earthly praise that, call centers and customer service are challenging, occupations for that. But beyond codevelopment and call centers, David, what are some of the more surprising use cases you're seein
11:17 / 12:20
from transcript11:17 – 12:20
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