Unraveling Direct Alignment Algorithms: A Comparative Study on Optimization Strategies for LLM Alignment

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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Fonte: https://www.marktechpost.com/2025/02/07/unraveling-direct-alignment-algorithms-a-comparative-study-on-optimization-strategies-for-llm-alignment/

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