Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a way to simplify this process by optimizing models directly without relying on reward modeling or reinforcement learning. These algorithms use different ranking methods, such as comparing […]
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