In this engaging discussion, Alex Havrilla, a PhD student at Georgia Tech, dives into his research on enhancing reasoning in large language models using reinforcement learning. He explains the importance of creativity and exploration in AI problem-solving. Alex also highlights his findings on the effects of noise during training, revealing how resilient models can be. The conversation touches on the potential of combining language models with traditional methods to bolster AI reasoning, offering a glimpse into the exciting future of reinforcement learning.
