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

Researchers at Nvidia have introduced Reinforcement Learning Pre-training (RLP), a novel approach that incorporates reinforcement learning into the initial training phase of large language models (LLMs), encouraging models to develop independent reasoning capabilities early on. Unlike traditional methods that rely on sequential pre-training followed by fine-tuning with curated datasets, RLP enables models to learn complex reasoning directly from plain text, fostering more autonomous and adaptable AI systems. This technique treats reasoning as an action within the pretraining process, allowing models to "think for themselves" before predicting subsequent tokens, which significantly enhances their ability to perform complex reasoning tasks downstream