The general availability of general-purpose Large Language Models continues to impact on higher education, yet they may not always be useful for specialized tasks. When using these models, oftentimes the need for particular domain knowledge becomes quickly apparent, and the desire for customized bots arises. Customization holds the promise of leading to more accurate and contextually relevant responses, enhancing the educational experience. This report relates insights and experiences from one particular technical university in Switzerland, ETH Zurich, to describe what "customizing" Large Language Models means in practical terms for higher education institutions.

翻译：通用大型语言模型的广泛普及持续影响着高等教育领域，然而它们并非总能胜任专业任务。在使用这些模型时，特定领域知识的需求往往迅速凸显，定制化机器人的需求随之产生。定制化有望带来更精准且符合语境的响应，从而提升教育体验。本报告基于瑞士苏黎世联邦理工学院（ETH Zurich）这一特定技术大学的实践，阐述了在高等教育机构中“定制”大型语言模型的具体实施路径与内涵。