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: machine-learning
AI & Analytics
Where Did ResNet34 Come From? A Look at the AI Model Repositories Powering Modern ML Workflows
25
Oct
Oct
👋 Following Up on Our FastAI Tutorial In our last post, “How to Train a Basic Vision Model Using FastAI“, we walked you through a simple, fast pipeline for training an image classifier using FastAI. Many of you asked a great follow-up question: “Where did the resnet34 model come from — and how did you […]
AI & Analytics, Virtualization & IT Efficiency
MLOps for Small Business: From Experiment to Reliable AI in Production
04
Jul
Jul
Machine Learning isn’t just for the big players anymore. As tools become more accessible and open-source solutions flourish, small and midsize businesses (SMBs) are in a unique position to leverage AI without needing a massive data science team. But deploying a model isn’t the same as maintaining one. That’s where MLOps comes in—and it’s more […]
15
Jun
Jun
For decades, if you wanted answers from your mountain of business data, you went to an OLAP database. It was the workhorse behind every sales dashboard, boardroom chart, and “how the hell are we doing this quarter?” meeting. But if you’ve been paying attention, you know the world changed—and so did our data. Enter the […]
14
Jun
Jun
Imagine teaching a student to ace a test by having them memorize the answers to one specific exam. They score perfectly—but only on that test. Give them a new one, and they crumble. That’s overfitting. In the world of machine learning, overfitting happens when a model learns the training data so well—noise, quirks, warts and […]
