Zhilin Wang

Jan 16, 2025 | mdpi.com | Durdana Khan |Stephen Franks |Zhilin Wang |Angela Miles

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Oct 3, 2024 | developer.nvidia.com | Zhilin Wang |Chintan Patel

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 better reflect user expectations.

Dec 12, 2023 | onlinelibrary.wiley.com | Ning Zhang |Jiamin Zhang |Zhilin Wang |Yijie Feng

Conflict of Interest The authors declare no conflict of interest. References 1 , , , , , , Mater. Sci. Eng. A 2018, 31, 360. 2 , , , , , , , Mater. Sci. Eng. A 2019, 32, 180. 3 , , , , J. Iron Steel Res. Int. 2022, 30, 537. 4 , , , , , , , , , J. Mater. Res. Technol. 2023, 25, 4201. 5 , , , , Mater Today Commun. 2022, 31, 103519. 6 , , Mater. Des. 2013, 56, 437. 7 , , , , , , Mater. Sci. Eng. A 2022, 842, 142994. 8 , , , , Steel Res. Int. 2022, 93, 2100784. 9 , , , , Mater. Sci. Eng.