Zed·9wWe Rebuilt Zeta from the Training Data Up — Zed's Blog
Zeta2 is Zed's updated edit prediction model with a 30% higher acceptance rate than Zeta1. Key improvements include a new training pipeline scaling from ~500 hand-curated examples to nearly 100,000 opt-in examples from open-source repositories, LSP-based context retrieval for better symbol awareness, and reduced latency. Zeta2 is open-weight and available on Hugging Face. Upcoming features include 'jumps' for propagating edits to related call sites, and ongoing experiments with Direct Preference Optimization (DPO) to personalize predictions based on user accept/dismiss behavior.