Evidence receipt / belief
Published · transcript-backedSpeaker unverified: belief
10 Jul 2023 Latent Space Code Interpreter == GPT 4.5 (w/ Simon Willison, Alex Volkov, Aravind Srinivas, Alex Graveley, et al.)
“I think I need to be able to provide an API key and say, here's the endpoint and here's what my data looks like, and you can query my data directly and and analyze it.”
— Speaker unverified
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- Speaker unverified
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- Not verified from this transcript
- Claim type
- belief
- Recorded
- 10 Jul 2023
- Publisher
- Latent Space
Transcript context
…thing I want. Yeah. Give us API access to the fine tune model and let it's evaluated on our machines. Yeah. And that could be a very quick intern project at OpenAI. I think. So I wanna get to Gabriel last, and Gabriel has been a great participant in his space, then Kyle then who just came up. And then I think, we'll, we'll give Simon and fix the last words and then we'll close out. Go ahead Gabriel. Yeah, so I think that the killer use case for the code interpreter is basically business analyst. You know, business analyst requires a really deep understanding of the business, you know, user funnel market and really only requires basic, you know, data analysis skills and junior business analysts coming into an organization. And it takes them year, two years to really understand the business and, and, you know, everything associated with it while executives know the business and they're just missing a little bit of the data analysis. I think that's the killer use case. And in order for code interpreter to really seriously be used in that role. I think open AI needs to allow a better way of feeding my data to the model than uploading a file. I think I need to be able to provide an API key and say, here's the endpoint and here's what my data looks like, and you can query my data directly and and analyze it. I think some amount of this they talked about and, and fine tuning something and this would like at least get some way there, right? Like you'd be able to fine tune your own version. So I've built a version of that as a plugin against my, my dataset software and it, you know, so the plugins do give you a way to do that. One thing I would say is that if you can upload up to a hundred megabytes, a hundred megabyte file, if you, you can, for most business on six problems, you can get that down to less than a hundred megabytes of data. Like run a query against your data warehouse, pulling back the highlights of the log file from the past 30 days or whatever. Get that into a hundred megabytes SQLite file or CSV file, upload that into code, do that sort of last mile analysis within it so you can get a surprisingly long way with the tool they've given us already. If you're willing to put a little bit of work into extracting outta 100 megabyte chunk of, of data, that can answer your question. Yeah.…
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