Aligning large language models (LLMs) with complex human values is a grand challenge in artificial intelligence. Traditional approaches like Reinforcement Learning from Human Feedback (RLHF) have proven effective, but they often involve multi step processes that can be computationally intensive and difficult to stabilize. Enter Direct Preference Optimization (DPO), a revolutionary method that provides an…

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