Tag Archives: model-training

AI Models Are Breeding Like Rabbits

And No One’s Asking Them to Slow Down Once upon a time—roughly five years ago—AI models were rare, exotic creatures. You knew them by name. GPT-2. BERT. ResNet. You could count the important ones without taking your shoes off. Fast-forward to today and… well… we have a situation. AI models are breeding like rabbits.Open-weight rabbits. […]

Where Did ResNet34 Come From? A Look at the AI Model Repositories Powering Modern ML Workflows

👋 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 […]

Overfitting in Machine Learning: When Your Model Becomes Too Smart for Its Own Good

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 […]