Welcome to Generative AI
This guide is intended to help students, faculty, and staff at Bucknell University to navigate the quickly evolving terrain of generative AI. It provides an overview of popular AI research tools, offers guidance on crafting prompts in these tools, and points out ethical and legal considerations of using AI. It also supplies resources related to core AI ethical issues while laying out basic citation rules.
If you require additional assistance, please don't hesitate to reach out to librarians at Bucknell for more information or to chat about the possibilities and pitfalls of generative AI
Learning Resource Spotlight: Understanding Generative AI
Rose, D. (2023, September 25). Generative AI vs. Traditional AI: Explore generative AI vs. traditional AI. [Video] LinkedIn Learning.
In this LinkedIn Learning course, Doug Rose looks at the differences between traditional and generative AI. Traditional concepts like supervised and unsupervised deep learning networks have inspired newer generative AI concepts like self-supervised learning, foundation models, diffusion models, and generative adversarial networks. To understand where a technology is heading, it's important to know its story. These generative AI tools are a big leap, but they’re still just another chapter in the exciting story of artificial intelligence. (60m) Bucknell account required to view.
