致谢 / Acknowledgments
致谢 / Acknowledgments
我们衷心感谢所有为"大模型与对齐"课程做出贡献的人员和机构。
We sincerely thank all individuals and institutions who have contributed to the “Large Language Models and Alignment” course.
课程团队 / Course Team
感谢所有授课教师、客座讲师和助教团队的辛勤付出,他们的专业知识和热忱使这门课程得以成功开展。
We thank all instructors, guest lecturers, and teaching assistants for their hard work. Their expertise and enthusiasm have made this course a success.
学术支持 / Academic Support
- 北京大学人工智能研究院 - 提供了优秀的学术环境和基础设施支持
- Peking University Institute for Artificial Intelligence - Provided excellent academic environment and infrastructure support
计算资源支持 / Computing Resource Support
英伟达及合作伙伴 - 为每位学生提供了NVIDIA GPU (~120 * A800, 20 * H20) 与 NVIDIA BlueField-3 DPU (~40 * BlueField-3) 开发环境。
NVIDIA and Partners - Provided each student with NVIDIA GPU (~120 * A800, 20 * H20) and NVIDIA BlueField-3 DPU (~40 * BlueField-3) development environments.
华为及合作伙伴 - 为每位学生提供了华为昇腾910B (~120 * 910B) 开发环境。
Huawei and Partners - Provided each student with Huawei Ascend 910B (~120 * 910B) development environments.
特别鸣谢 / Special Thanks
感谢所有参与课程的学生,他们的积极参与和反馈是推动课程不断完善的重要动力。
We thank all students who participated in the course. Their active participation and feedback are important driving forces for the continuous improvement of the course.
如果您对课程内容有任何建议或反馈,欢迎通过相关渠道与我们联系。
If you have any suggestions or feedback about the course content, please feel free to contact us through relevant channels.