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Generative Artificial Intelligence (GenAI): Home

Exploring the Power of Generative AI

Generative AI systems—such as ChatGPT and Midjourney—generate text, images, audio, video, and other content.  And Generative AI is a rapidly evolving technology that impacts the way we create content and solve problems. It has the potential to transform learning and research.

This guide serves as a starting point for exploring generative AI concepts, key features, available tools, how to use them, and citing AI-generated content. It also addresses challenges users may encounter when using generative AI.

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Let's begin with some questions (click the questions for answers):

  1. What Is Generative AI and Large Language Models(LLMs)?  
  2. What Are Generative AI Tools?   
  3. How to Write Prompts for Generative AI Tools?  
  4. What's AI Generated Content (AIGC)?  
  5. How to cite AI Generated Content?  

Looking for more information on Generative AI?

Understanding the issue of using Generative AI.

Here is a comprehensive introduction to Generative AI by Henrik Kniberg (high-definition image, video version). For more details, visit his blog: https://www.crisp.se/konsulter/henrik-kniberg

Generative AI in a Nutshell

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has released the 2024 AI Index report, which is the seventh edition of the AI Index series. The AI Index report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). Featuring more original data than ever before, this edition introduces new estimates on AI training costs, detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI’s impact on science and medicine. The report is highly recommended for those interested in the field.

Note: The creation of this guide also includes collaborative efforts using relevant generative AI tools, including XIPU AI. Last updated: April 2024.