Technology

R1 utilizes a training method called direct reinforcement learning which is a form of unsupervised learning that forgoes the need for labelled data or explicit solutions. Instead, the model explores various approaches and generates multiple potential answers that are grouped and evaluated using a reward score. This score acts as a fitness function, allowing for learning and adjusting strategies over time. R1 progressively improves its problem-solving abilities by reinforcing successful approaches. This is a similar process to how humans learn to solve problems through trial and error.