Direct benefit optimization (DPO): Simplified RLHF for LLM alignment
Alignment of large language models (LLM) is performed through a complex RLHF pipeline. This approach is efficient, but is associated with high costs and technical difficulties. Direct Preference Optimization (DPO) offers a simple, transparent alternative for preference optimization and effective model alignment techniques.
This approach preserves the advantages of RLHF,
