I’ve put together a small collection of interactive, in-browser explainers to make some core ideas in machine learning and AI more intuitive.

Each one is a self-contained page you can click through at your own pace — no installation, no code, just open and explore. They cover how a single neuron learns, the deep learning training loop, and how text gets turned into vectors and embeddings.

Have a look here: Interactive Explainers.


<
Previous Post
Using uv’s pyproject.toml
>
Next Post
The Huggingface Hack: strong model or weak harness?