Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Nvidia researchers have introduced an innovative technique that enhances the reasoning abilities of large language models (LLMs) by incorporating reinforcement learning during the pre-training phase. This method encourages models to think independently before making predictions, fostering better reasoning skills from the outset. This advancement is significant as it could lead to more capable AI systems that understand context and nuance, ultimately improving their performance in various applications.