Language models have come a long way in recent years, but to achieve superhuman capabilities, we need models that can continuously improve and provide high-quality feedback. Traditional approaches rely on human preferences for training reward models, which can be limited by human performance and lack the ability to improve during training. However, a new paradigm called Self-Rewarding Language Models (SRLMs) is changing the game. SRLMs take a different approach to language model training. With S...