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Alibaba Researchers Propose Reward Learning on Policy (RLP): An Unsupervised AI Framework that Refines a Reward Model Using Policy Samples to Keep it on-Distribution
MarkTechPost www.marktechpost.com
Large language models (LLMs), the engines behind AI’s understanding and generation of human-like text, have made leaps forward in mimicking human interactions. These advancements have broad applications, from automating customer service to crafting content. Yet, the challenge remains in fine-tuning these models to accurately reflect human preferences, ensuring they operate safely and effectively within their […]
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