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Linus Lee: prediction

1 Jun 2023 Latent Space Building the AI × UX Scenius — with Linus Lee of Notion AI

“We do do quite a bit of using language models to evaluate language models. So our unit test descriptions are kind of funny because the test is literally just an input document and a query, and then we expect the model to say something.”

— Linus Lee

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Speaker
Linus Lee
Attribution
Verified speaker
Claim type
prediction
Recorded
1 Jun 2023
Publisher
Latent Space

Transcript context

…You just have a hand-rolled testing framework or use Jest or whatever, and nothing custom out there. You basically said you've looked at so many prompt ops tools and you're sold on none of them. So that tweet was from a while ago. I think there are a couple of interesting tools these days. But I think at the moment, Notion uses pretty hand-rolled tools. Nothing too heavy, but it's basically a for loop over a list of test cases. We do do quite a bit of using language models to evaluate language models. So our unit test descriptions are kind of funny because the test is literally just an input document and a query, and then we expect the model to say something. And then our qualification for whether that test passes or not is just ask the language model again, whether it looks like a reasonable summary or whether it's in the right language. Do you have the same model? Do you have entropic-criticized OpenAI or OpenAI-criticized entropic? That's a good question. Do you worry about models being biased towards its own self?…

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