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AI is not actually, you know, extending software in a marginal way. It's a different product. And in fact, you know, it's actually going to grab a lot of revenue that actually today is in services industry, which is 25 times larger than software industry. So there's a lot of spend that is going to move. I mean, the spend that you see happen on AI is actually sort of, you know, those service dollars that are converting into AI or software dollars.
Yeah. I, that's the one I actually like, like a lot myself. I think it, it does tell you a lot about, about the company. Like, you know, when you sort of look at these data. Yeah.
Well, so that is complicated. So we, we build language models. We build smaller models, you know, to sort of, you know, build semantic understanding of your company knowledge. But, but we as well as Salesforce and, and, you know, like other, other products, SaaS product companies, all of us use, you know, APIs to, you know, you know, to these large language model providers like GPT-4 or Gemini to do some work. So typically in that model, what happens is that, you know, you're basically sending p
So, so typically, like, you know, companies like, you know, SaaS companies like Salesforce or Atlassian product, you know, or, or, you know, any of these systems, they're not building language models, language models are built by no, but they're building language models into their product.
I think right now we started out with, you know, I think majority of our deployments right now are using GPT four.