Decoding the Impact of Feedback Protocols on Large Language Model Alignment: Insights from Ratings vs. Rankings

Alignment has become a pivotal concern for the development of next-generation text-based assistants, particularly in ensuring that large language models (LLMs) align with human values. This alignment aims to enhance LLM-generated content’s accuracy, coherence, and harmlessness in response to user queries. The alignment process comprises three key elements: feedback acquisition, alignment algorithms, and model evaluation. […]

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