Evidence receipt / belief
Published · transcript-backedArtem Keydunov: belief
26 Oct 2023 Latent Space Powering your Copilot for Data – with Artem Keydunov of Cube.dev
“I don't think how much is going to deviate from a standard software engineering, I think many tools and practices that we develop our software engineering can be applied to AI.”
Source trail
Everything needed to verify it.
- Speaker
- Artem Keydunov
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 26 Oct 2023
- Publisher
- Latent Space
Transcript context
…right. But AI, I don't think it's completely different. But it has some unique traits, you know, like, it's quite not idempotent, right, and kind of from many dimensions and like other traits. So which kind of may require a different methodologies may require different approaches and a different toolkit. I don't think how much is going to deviate from a standard software engineering, I think many tools and practices that we develop our software engineering can be applied to AI. And some of the data best practices can be applied as well. But it's like we got a DevOps, right, like it's just a bunch of tools, like ecosystem. So now like AI is kind of feels like it's shaping into that with a lot of its own, you know, like methodologies, practices and toolkits. So I'm really excited about it. And I think it's a lot of unsolved still question again, how do we develop that? How do we test you know, like, what is the best practices? How what is a methodologist? So I think that would be an interesting to see. Awesome. Yeah. Our final message, you know, you have a big audience of engineers and technical folks, what's something you want everybody to remember to think about to explore?…
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