### Q1: What is the basic structure of Generative Adversarial Networks (GANs)?  
### Q2: How do Variational Autoencoders (VAEs) assist in customer segmentation within the finance sector?  
### Q3: Explain how Transformers can be utilized for sentiment analysis in financial markets.  
### Q4: What are some potential risks associated with using GANs for generating synthetic financial data?  
### Q5: In what scenarios could VAEs lead to more effective product offerings in finance?  
### Q6: How can understanding the differences between generative and discriminative models influence AI solution development in finance?  
### Q7: How would you explain the concept of self-attention mechanisms in Transformers to a non-technical audience?  
### Q8: Describe a situation where effective communication of generative model capabilities could enhance team collaboration in a finance project.  
### Q9: What strategies can be used to communicate the importance of understanding generative models to stakeholders in the finance industry?