VibeOS was produced by a computer engineering student using the latest version of Anthropic’s Claude large language model.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a ...

I firmly believe that in order to understand something completely, you have to build it on your own from scratch. I used to do gradient calculation analytically, and thought that autograd was some ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...