
DeepSeek AI has recently unveiled an innovative method designed to transform the landscape of reward models (RMs) for large language models (LLMs). Known as Self-Principled Critique Tuning (SPCT), this technique introduces a new level of versatility and scalability to RMs, promising substantial advancements in areas where current models struggle. This article explores the nuances of SPCT, delving into the challenges










