### Q1: What is generative AI and how does it differ from traditional AI?  
### Q2: Can you explain the functioning of Generative Adversarial Networks (GANs) and their application in product development?  
### Q3: What are the implications of overfitting in generative AI models, and how can it affect the outcomes of product development?  
### Q4: In what ways can generative AI enhance the ideation phase of product development?  
### Q5: How can product owners leverage the capabilities of Variational Autoencoders (VAEs) in creating variations of product designs?  
### Q6: What are some challenges product owners might face when implementing generative AI in their B2C strategies?  
### Q7: How can mastering key terminology in generative AI improve your communication with tech teams?  
### Q8: What strategies could you use to explain the concept of latent space to stakeholders unfamiliar with generative AI?  
### Q9: How can prompt engineering be utilized to guide generative models effectively in producing desired outputs?