Evidence receipt / belief
Published · transcript-backedShreya Rajpal: belief
16 May 2023 Latent Space Guaranteed quality and structure in LLM outputs - with Shreya Rajpal of Guardrails AI
“I think I'm also thinking about what are, what are interesting ways to be able to like whittle down very deeply into like what kind of went wrong or what is going right when you're like running, running an application and like what the nice kind of interface to design that would be.”
Source trail
Everything needed to verify it.
- Speaker
- Shreya Rajpal
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 16 May 2023
- Publisher
- Latent Space
Transcript context
…Yeah, they're colored. They're like nicely, like there's like form double borders on the, on the logs. I've never seen this in any ML tooling at all. Oh, thanks. Yeah. I appreciate it. Yeah, I think this was mostly. For once again, like solving my own problems, which is like, I was building a lot of these things and you know, doing a lot of dog fooding and doing a lot of application building like in notebooks. Yeah. And so in a notebook I wanted to kind of see like what the easiest way to kind of interact with it was. And, and that was kind of what I ended up building. I really appreciate that. I think that's, that's very nice to, nice to hear. I think I'm also thinking about what are, what are interesting ways to be able to like whittle down very deeply into like what kind of went wrong or what is going right when you're like running, running an application and like what the nice kind of interface to design that would be. So yeah, thinking about that problem. Don't have anything on there yet, but, but I do really like this idea of really as a developer you're just like, you really want like all the visibility you can get into what's, what's happening right. Under the hood. And I wanna be able to provide that. Yeah. Yeah. I mean the, the, the downside I'll point out just quickly cuz we, we should, we should move on is that this is not machine readable. So like, how does it work with like a Datadog or, you know? Yeah,…
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