DEFINING REINFORCEMENT LEARNING DOWN

Summary from the TLDR AI newsletter

Reinforcement learning (aka post-training) is simpler than it sounds: generate responses, get scores, then retrain while emphasizing the high-scoring ones. If you already have code to pretrain a model, you can turn it into post-training code by adding a single line that weights updates by score.