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Shreya Rajpal: preference

16 May 2023 Latent Space Guaranteed quality and structure in LLM outputs - with Shreya Rajpal of Guardrails AI

“I'd looked into it very briefly, but I mean, I think for my, for my own workflows, I wanted to make it like as easy as possible to like wrap whatever LLM API calls you make.”

— Shreya Rajpal

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Speaker
Shreya Rajpal
Attribution
Verified speaker
Claim type
preference
Recorded
16 May 2023
Publisher
Latent Space

Transcript context

…Oh, I was actually gonna ask this at the end, but I'm gonna bring it up now. Did you explore sql, like. Syntax. And obviously there's a project now l m qr, which I'm sure you've looked at. Yeah. Just compare, contrast, anything. Yeah. I think from my use case, like I was very, how I wanted to build this package was like essentially very, very focused on developer ergonomics. And so I didn't want to like add a lot of overhead or add a lot of like, kind of like high friction essentially like learning a whole new dialect of sequel or a sequel like language is seems like a much bigger overhead to me compared to like doing things in XML or doing things in a markup language, which is much more intuitive in some ways. So I think that was part of the inspiration for not exploring sql. I'd looked into it very briefly, but I mean, I think for my, for my own workflows, I wanted to make it like as easy as possible to like wrap whatever LLM API calls you make. And, and to me that design was in markup or like in XML, where you just define your desired structures. For what it's worth. I agree with you. I would be able to argue for LMQL because SQL is the proven language for business analysts. Right. Like less technical, like let's not have technical versus non-technical. There's also like less like medium technical people Yeah. Who learn sql. Yeah. Yeah. But I, I agree with you.…

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