Deepset Cloud, every mention
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the MAD Podcast 14
every year every show the MAD Podcast 14
Verbatim, from the transcripts: passages where Deepset Cloud comes up on the MAD Podcast
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 6:54 Milos Rusic And this is when the idea for Deepset Cloud came up, because we realized that while Haystack is the tech stack to build these full stack NLP or LLM applications, um, you still have a process that you have to follow, right?
- ▶ 8:54 Milos Rusic I think we were like around 10 or 12 people, but this was because we used already a lot of the, of the money, not to invest further into consulting, but actually to build out product and early versions also, also of Deepset Cloud, actually…
- ▶ 16:16 Matt Turck Let's talk about, uh, Deepset Cloud, which is the commercial product, um, a SaaS platform for NLP teams. 6 times in the scene
- ▶ 21:39 Milos Rusic How do you make sure that your pipeline and deep cloud scales, if it scales from a thousand to a million requests or from a thousand to a million files that you want to index, right? 2 times in the scene
- ▶ 28:10 Milos Rusic Where we say, um, where we say there are, so everything you build on Deepset Cloud, every LLM application that comes out, you technically can also build it just by using the open source framework, right?
- ▶ 31:17 Milos Rusic And this is pretty much what DeepSight Cloud as a product also, you know, has evolved and has been built.
- ▶ 35:09 Milos Rusic And what they do with Deepset Cloud is they simply build features that improve the user experience for their customers.
- ▶ 41:09 Milos Rusic So pretty much what I was also talking about with DeepSight Cloud, um, this idea of, you know, how to monitor your applications in production, make sure that, that, you know, everything works as you want.