In the last post, we pulled pretrained models from public hubs and got results fast. Great for demos. But when you’re running multiple projects, retraining variants, and handing models between teams, you need something sturdier: an internal model registry. Think of it as a single place to track what models you have, which data trained […]
Tag Archives: future of programming
19
Oct
Oct
Following up on our previous article, “The 75% Workforce Reduction Already Here: How Functional AI Pipelines Are Reshaping Work”, we received a wave of questions about how to actually train a computer vision model — not just automate one. This post answers that — with a high-level, practical example showing how to train a basic […]
12
Jun
Jun
Let’s get the uncomfortable truth out of the way: If you’re a human coder, your days are numbered. No, the machines aren’t coming for your job—they’re already here. And they’re not asking politely for a seat at the table. They’re rewriting the entire menu. From Code Monkeys to Code Architects For decades, being a coder […]
