Milos Rusic
CEO & Co-Founder, deepset AI. On 1 show, 1 appearance. The Shows tab opens the full record on each.
1shows
1appearances
13statements
1resolved
1supported
0contradicted
100%fully supported
Everything Milos Rusic said on any show that made the record, most notable first. Each card names its show and opens the statement there.
The only meaningful way to adopt NLP and LLMs is cloud-based
“The only meaningful way to adopt to adopt NLP and LLMs is in the cloud”
AI startups prioritize rapid shipping over accuracy and factfulness
“If you care so much around about the factfulness of your applications, you're probably not a startup, right? Startups, you know, you want to ship fast. You do whatever works best. You assemble something, it's shipped.”
Europe's conservative enterprise tech adoption limits local startup growth ceilings
“Europe is that simply, you know, a bit more conservative in the way they adopt new technologies, right? And this is this is usually then a bit harder for these companies to, you know, to grow in their home markets, right?”
RAG systems need dedicated hallucination detectors to verify LLM outputs
“If you want to make sure that there's not a, that the model doesn't hallucinate, you probably want a hallucination detector on top, right? Something that classifies an answer and confirms, is this answer really part of my database?”
Model transparency and research drive enterprise AI adoption
“More transparency we can create also around, you know, how models have been trained, You know, the more research we have around the model, of course, the more trust it creates and easier it is for companies to adopt.”
Maturing database products differentiate, making integrations harder to maintain
“All these products are maturing and also differentiating, right? So it is becoming more and more of an effort, to be honest, to really manage this.”
Consumption is the best metric to reflect LLM system value
“Is probably the best metric to somehow reflect the value that comes out of these LLM systems, right? Because in the end, the more requests a model gets, or application gets, probably the more valuable it is. The more data you load into it, probably the more va…”
Deepset's core LLM tech stack will always remain open source
“Everything that you need to really have an LL application, like technically the full tech stack, that will always be open source.”
Enterprise GTM requires selling directly to use-case product owners
“To sell into the enterprise, what you need is you really need a use case, right? And you really need to have clarity about the use case. And the best person to sell to is the person that is responsible for serving a use case. And this is a persona that we refe…”
RAG will be the first LLM architecture to see mainstream enterprise adoption
“We see that this whole RAC architecture is probably the first one that will really see a broad, massive adoption, right? Simply because it's all about accessing and, you know, somehow working with information that is already around. And this is where we see, l…”
Airbus single-pilot AI search application will take a few more years
“For Airbus, the case is it's something they are working on. It's probably something that will take a few more years because it's all embedded in this overall vision of single pilot operations.”
Rusic highlights London-based LLM observability startup Context
“One company I like is, for example, Context from London.”
One line per show, most statements first. The link opens Milos's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 MADLEDGER | CEO & Co-Founder, deepset AI | 1 | 13 | 100% 1/1 | full record on the MAD Podcast → |