FARR Workshop Presentation: Generative Artificial Intelligence

This repository contains the presentation titled "Generative Artificial Intelligence" delivered at the FAIR in ML, AI Readiness, & Reproducibility (FARR) Workshop held in 2024.

Overview

The presentation introduces the concept, applications, and implications of Generative AI, including models such as GANs, VAEs, and Transformer-based architectures like GPT. It also explores the challenges and opportunities in aligning generative AI development with FAIR principles and reproducibility standards.

Topics Covered:

• Fundamentals of Generative AI
• Popular Architectures (GANs, VAEs, Diffusion Models)
• Use Cases in Environmental and Scientific Domains
• FAIR Principles in the Context of Generative AI
• Reproducibility Challenges and Practices

Repository Structure

FARR/
├── Generative_AI_Presentation.pdf   # Slide deck of the presentation

How to Use

1. Clone the repository:

   git clone https://github.com/yogesh-sb/FARR.git

2. Open Generative_AI_Presentation.pdf to view the slides.

Citation

If you use this material for your own work or presentations, please credit the FARR RCN Workshop and the original presenter.

License

This content is shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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For more information, visit farr-rcn.org

Contact

For questions or issues, contact Yogesh Bhattarai at yogeshbhattarai.sb@gmail.com.