Evidence receipt / evaluation
Published · transcript-backedRiley Goodside: evaluation
14 Jun 2023 Latent Space Emergency Pod: OpenAI's new Functions API, 75% Price Drop, 4x Context Length (w/ Alex Volkov, Simon Willison, Riley Goodside, Joshua Lochner, Stefania Druga, Eric Elliott, Mayo Oshin et al)
“Like that's, you know, I think that that's the key thing is that it's seen a lot of documentation, it has a lot of experience in the training data of like how documentation relates to code because like, it's trained on like code bases.”
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- Speaker
- Riley Goodside
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- Claim type
- evaluation
- Recorded
- 14 Jun 2023
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- Latent Space
Transcript context
…Especially if we wanna share our functions and not rewrite functions that other people have written. And imagine you have like a much larger search space at that point. Yeah, it's, it's really nebulous because like, you're sort of like, it gives you the ability to like run software that only exists in your imagination, right? Like, if you can have, just have like some fake description of how something works, like you're, can be like, oh, it's like Twitter, but it has this, you know, or something like that. And like, it'll work, right? So it, it, it, it, or at at least it has in the past, like ways that I've done it, of like doing this through prompt engineering. Like, I haven't used like the, the current thing, but I mean, like, that's generally how these go. Is that, that you, it's like, it's it, it's made to work off documentation, right? Like that's, you know, I think that that's the key thing is that it's seen a lot of documentation, it has a lot of experience in the training data of like how documentation relates to code because like, it's trained on like code bases. And I think that's like, you know, it's a good kind of expertise to leverage. I would definitely add a functioned summary of what's there at the end of every prompt, just to shim it. I I, I found it a little bit frustrating even just with normal plugins as to know which plugin is, is gonna pick. Right. So there's, there's some prompt engineering to do there. Okay. So some people are suspecting that, again, it's not a real 16 k, it's more like a variable 16 k kind of like 4 32 K, 16 K. I noticed this with 32 k as well. The Maxim responses I was getting back was like up to like 7,000 ish tokens and and, and that that was about it. I mean, you can, you could input 30 k of, of stuff. You can input a code base and then maybe get something back, get a summary back. So I think this might be the case here as well. You can't really get back a very long response, but at least now it, it is responding up to 7,000 tokens, whereas before it was pretty hard to make it right, even like responses longer than 2000 tokens out of one single prompt. So yeah, any, anyway, it doesn't look like an an eight K in responses. You, you can dump in up to it. So…
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