ery high level.

The key to this success is the quality of the data used to train the model. Instead of using typical sources of code data, which can be messy and hard for the model to learn from, the researchers used high-quality, "textbook-like" data. This includes both real-world code that's been carefully filtered for quality, and synthetic data generated by another AI model.

This approach has two main benefits. First, it means that the model can be trained more efficiently, which could save a lot of m