隨著AI科技的迅速發展，人類社會的各個面向都開始受到了不同層面的衝擊。生成式 AI 迅速與多樣化產製內容的能力，不論在知識傳承，或是實務創作上也帶給人文社會領域新的養分與挑戰。

本堂課是特別針對人文領域的學生設計的 AI 技術與應用入門課。在內容安排與講解上， 與一般純粹以技術入門的導論課有許多不同。本堂課將以人本為核心關懷出發，以直觀概念與模擬技術來講解 AI 模型的基礎與發展，並搭配與人文主題相關的實作練習，特別是文史哲議題、語言與溝通、藝術音樂與遊戲創作等等。

With the rapid development of AI technology, all aspects of human society have begun to be impacted at different levels. The ability of generative AI to quickly and diversify content production also brings new nutrients and challenges to the humanities and social fields, both in terms of knowledge inheritance and practical creation.

This class is an introductory course on AI technology and applications specially designed for students in the humanities field. In terms of content arrangement and explanation, it is very different from ordinary introductory courses that are purely technical. This class will start from the core concern of humanism, use intuitive concepts and simulation technology to explain the foundation and development of AI models, and will be paired with practical exercises related to humanistic themes, especially literary, historical and philosophical issues, language and communication, art, music and game creation, etc.

(以上課分享之論文與教材為主，以下僅提供進修參考)
- Raschka, S. (2024). Build a Large Language Model from Scratch. Manning.
- Pai, S. (2025). Designing Large Language Model Applications: A Holistic Approach to LLMs. O’Reilly.
- Porter, L. and D. Zingaro. (2024). Learn AI-assisted Python Programming. Manning.
- 程世嘉 (2024). AI 世界的底層邏輯和生存法則. 天下文化.

(Mainly based on the papers and teaching materials shared in class, the following is only for reference for further study)
- Raschka, S. (2024). Build a Large Language Model from Scratch. Manning.
- Pai, S. (2025). Designing Large Language Model Applications: A Holistic Approach to LLMs. O’Reilly.
- Porter, L. and D. Zingaro. (2024). Learn AI-assisted Python Programming. Manning.
- Cheng Shijia (2024). The underlying logic and survival rules of the AI ​​world. Tianxia Culture.