Tag
2 articles
This article explains Direct Preference Optimization (DPO), a method for fine-tuning language models using preference data, and how it can be implemented using TRL and LoRA tools. It also discusses the importance of auditing preference data for biases.
Learn how to improve large language models using post-training techniques like Supervised Fine-Tuning, Reward Modeling, DPO, and GRPO with the TRL library.