We have another technical blog post, this time by Akshay Krishnamurthy and Audrey Huang, about how ideas from reinforcement learning theory can inspire new algorithms for language model post-training. Over the last several years, we have seen an explosion of interest and research activity into generative models—particularly large language models like ChatGPT, Claude, and Gemini—which … Continue reading The Interface Between Reinforcement Learning Theory and Language Model Post-Training