Advancements in Open Post-Training for Language Models

This chapter explores the evolution of open post-training practices in language models, focusing on techniques like direct preference optimization (DPO) and the impact of open-source models such as Tulu3. It highlights the competitive landscape post-chatGPT, emphasizing the community's drive to utilize larger datasets and innovative strategies to improve model performance.