| 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.
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