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11. Practice & Resources

Miscellaneous Topics

Capstone Project Ideas

Quiz Questions

  1. What is the difference between a generative and discriminative model?
  2. Explain the GAN training objective (minimax game).
  3. How does the attention mechanism compute relationships between tokens?
  4. What problem does KL divergence solve in VAEs?
  5. Describe the three stages of RLHF.
  6. What is mode collapse in GANs and how can it be mitigated?
  7. Compare autoregressive models with diffusion models for image generation.
  8. What is the purpose of positional encoding in transformers?

Ethics & Limitations

Future Trends

Study Plan (8 Weeks)

Certification Recommendations

Final Challenge: Build a complete generative AI project of your choice. Document the problem, approach, architecture, training process, results, and ethical considerations. Deploy a demo (Streamlit, Gradio, or Hugging Face Spaces). Share your project with the community!