Presentation on Generative Models and Their Applications
Date:
I was invited by the University of Kashan AI Association to deliver a presentation on generative models and their applications. The presentation was structured into several sections, each focusing on different aspects of generative models.
- Introduction to Generative Models:
- Discussed what generative models are and their relationship to AI.
- Explained the difference between generative models and discriminative models.
- Provided an overview of how generative models work.
- Types of Generative Models:
- Introduced different types of generative models.
- Focused on three common types: VAEs (Variational Autoencoders), GANs (Generative Adversarial Networks), and Diffusion models.
- Examined and compared the strengths and weaknesses of each type.
- Applications in Various Domains:
- Reviewed applications of generative models in Computer Vision, Natural Language Processing, and multi-modal settings.
- Introduced notable models and papers for each application.
- Interactive Examples and Discussion:
- Demonstrated customized examples of outputs from famous generative models.
- Discussed the outputs in terms of their details, strengths, and weaknesses.
- Concluded with a discussion on ethical challenges in AI and generative models.
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