New Reward Model Helps Improve LLM Alignment with Human Preferences – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-27T22:43:54Z http://www.open-lab.net/blog/feed/ Zhilin Wang <![CDATA[New Reward Model Helps Improve LLM Alignment with Human Preferences]]> http://www.open-lab.net/blog/?p=89655 2024-10-21T23:56:04Z 2024-10-03T16:00:00Z Reinforcement learning from human feedback (RLHF) is essential for developing AI systems that are aligned with human values and preferences. RLHF enables the...]]> Reinforcement learning from human feedback (RLHF) is essential for developing AI systems that are aligned with human values and preferences. RLHF enables the...Nemotron icon in front of multiple tiles with icons and three sliders each, in colors of green, purple, and grey.

Reinforcement learning from human feedback (RLHF) is essential for developing AI systems that are aligned with human values and preferences. RLHF enables the most capable LLMs, including ChatGPT, Claude, and Nemotron families, to generate exceptional responses. By integrating human feedback into the training process, RLHF enables models to learn more nuanced behaviors and make decisions that��

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