Generative Artificial Intelligence
Learning Outcomes:
- Explain the Foundations of Generative AI
- Apply Generative Model
- Analyze Ethical Implications of Generative AI
Topics:
- Introduction to Generative AI
- Probability and Generative Models
- Variational Autoencoders (VAEs)
- Generative Adversarial Networks (GANs)
- Transformer-Based Generative Models
- Natural Language Generation (NLG)
- Diffusion Models and Other Emerging Architecture
- Evaluating Generative Models
- Practical Applications of Generative AI
- Ethical and Societal Implications
Published at :
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