The Importance of a Mental Model in Machine Learning

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

There is a really old fashioned term that would be applied. It's a filter software developers who have been around for a while might know about creating filters. And it's just an incredibly sophisticated filter in that, you know, you get the one thing in, you get a different thing out. The key difference, I think, that I share with people, at least when they're forming their own mental model around these things, is that in kind of normal quote unquote, I don't know if we have normal software engineering anymore,.

Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.

Leave us a comment

Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today.

Featuring: