| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| AT03013 | 生成式AI技術與應用 | Generative AI technology and applications | 3.0 | 3 |
| 中文概述 Chinese Description | 生成式人工智慧(GAI) 的快速發展已經徹底改變了多媒體設計，AI生成的影片、圖像和文本已達到專業水準。本課程從神經網路的基礎理論開始，例如線性回歸、分類器、遞歸神經網路(RNN)、自編碼器(AE) 以及變分自編碼器(VAE)，最終涵蓋兩項關鍵技術的核心知識及多樣應用：大型語言模型(LLM)和擴散模型(Diffusion Model)。通過使用開源工具如Llama和Stable Diffusion進行實作練習，學生將深入了解AI的運作方式，並學習如何高效地創作高品質且具創意的 AI 內容。掌握這些技術後，學生將能將AI生成的內容整合至資訊系統中，提升系統功能、美感和用戶體驗。這門課程將幫助學生培養與AI共同創作超媒體內容的核心技能。 | |||
| 英文概述 English Description | The rapid advancement of Generative AI (GAI) has revolutionized multimedia design, with AI-generated videos, images, and text now reaching professional standards. This course begins with foundational neural network theories such as linear regression, classifiers, RNN, AE, and VAE, and progresses to core concepts and applications of two major technologies: Large Language Models (LLMs) and Diffusion Models. Through hands-on practice with open-source tools like Llama and Stable Diffusion, students will gain a deep understanding of AI operation and learn efficient techniques for creating high-quality, innovative AI content. By mastering these technologies, students will be able to integrate AI-generated content into information systems, enhancing both functionality and user experience. The course prepares students with the essential skills for human-AI co-creation in hypermedia content. | |||
| 核心能力指標 | 3.互動程式應用能力 | |||
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