Evidence receipt / uncertainty
Published · transcript-backedJoe Reeve: uncertainty
8 Jun 2023 Latent Space From RLHF to RLHB: The Case for Learning from Human Behavior - with Jeffrey Wang and Joe Reeve of Amplitude
“I don't know how to measure that. Except by thumbs up, thumbs down, which is a difficult measure in the first place.”
Source trail
Everything needed to verify it.
- Speaker
- Joe Reeve
- Attribution
- Verified speaker
- Claim type
- uncertainty
- Recorded
- 8 Jun 2023
- Publisher
- Latent Space
Transcript context
…I don't know. I don't know how to measure that. Except by thumbs up, thumbs down, which is a difficult measure in the first place. So that's where we can start saying, measuring the behavior of users once we've generated something for them. So have they gone and shared this content? Have they used this content? They actually gotten any value out of it? Not just have they pressed thumbs up. We can actually measure, are they getting value? Are they throwing it away from their behavior? But then using that through the Amplitude product, we can then tie that through to A-B tests, which is another product that Amplitude has. So then suddenly we start, and we're not doing this yet. This is sort of next on our list, is to start putting these prompts into our A-B test variants. So then we make a tweak in the UI, and it goes off, fires on the original, the control and our variant, our new variant. See, does it get fewer or more errors? Does it get fewer or more thumbs up, thumbs down? Have you thought about, I don't know, A-Z testing, I guess? Like one of the limitations has been, well, people can only write so much copywrite to test, but now with these generative models, you can actually generate a lot of copy. And like you go to on-demand test more and more and more copy. Have you seen any maybe fun customer stories? Like can you, anything there?…
Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.