R-Zero: How AI Models Self-Improve Without Any Training Data

R-Zero: Teaching Large Language Models to Reason—Without Any Data “ A step-by-step guide for practitioners who want a self-improving LLM that starts from nothing but a base checkpoint. 1. The Problem We All Share Training a model to reason has always looked like this: Collect thousands of exam questions. Pay experts to write detailed, correct answers. Fine-tune the model on those answers. Hope the model generalises. That pipeline is slow, expensive, and hard to scale. R-Zero removes steps 1–2 entirely. It shows how one base model can act as both teacher and student, producing its own curriculum and steadily getting …