TUTORIAL

Bio: Dr. Sudipta Sahana is a Professor at the Department of Computer Science and Engineering ( AI & ML) at UEM, Kolkata, India. He has completed his PhD from the University of Kalyani and his B.Tech and M.Tech from WBUT. With fifteen years of experience in teaching and research, Dr. Sahana has published more than 75 papers in international journals and conference proceedings, along with contributing chapters to edited volumes. His research interests focus on Cloud computing and machine learning. He is a life member of CSI and a fellow member of IETE.

Topics covered in this tutorial –

1. Introduction to Generative AI (20 minutes)

• Definition of Generative AI
  • Explain what Generative AI is and how it differs from traditional AI.
• Applications of Generative AI
• Discuss real-world applications (e.g., content creation, art, music, synthetic data).

2. Key Concepts (25 minutes)

• Machine Learning Basics
• Brief overview of machine learning and deep learning.
• Types of Generative Models
• Explain different types (e.g., GANs, VAEs, autoregressive models).
• Training Process
• Overview of how generative models are trained.

3. Hands-On Activity: Text Generation (30 minutes)

• Setup
• Guide participants to set up an environment (using Google Colab, for example).
• Demo: Using GPT- 3 / ChatGPT
• Showcase a simple text generation task.
• Activity
• Participants create their own prompts and generate text.

4. Exploring Image Generation (30 minutes)

• Introduction to Image Generation
• Overview of GANs and popular models like DALL-E and Stable Diffusion.
• Demo
• Show a live demo of generating images from text.
• Activity
• Participants generate images based on their descriptions.

5. Ethical Considerations (15 minutes)

• Discuss Ethical Implications
• Talk about deepfakes, copyright issues, and responsible AI use.
• Guidelines for Ethical Use
• Provide tips on how to use Generative AI responsibly.

TUTORIAL 2 REGISTRATION: