How We Built Zeta2: Training an Edit Prediction Model in Production — Ben Kunkle, Zed
This talk details the process of training Zeta2, an edit prediction model for the Zed code editor. The core thesis revolves around using distillation from frontier models and leveraging opt-in production data to create a specialized, fast model for predicting user edits. The training pipeline emphasizes data processing, prompt engineering for teacher models, and a novel approach using "settled data" to generate high-quality training examples.
Europe 2026 11 min