ML Without Magic: Building a Tiny Language Model in Pure Node.js and Watching Every Weight Change

This article showcases a tiny language model built in pure Node.js, without relying on frameworks like TensorFlow or PyTorch. The model is trained on a simple text scenario and demonstrates its learning process. The code is simplified to focus on the main idea, and every scalar is visible in the terminal. The model produces correct answers after training, with a stable acceptance criterion reached 11 times in a row. Engineers can use this example as a starting point for building their own language models.