### Q1: What is the primary objective of generative models in machine learning?  
### Q2: Can you explain a scenario where a discriminative model would be more advantageous for a business compared to a generative model?  
### Q3: How does the complexity of generative models compare to that of discriminative models, and what implications does this have for their use in business applications?  
### Q4: How could a generative model, like a GAN, be utilized by a fashion e-commerce company to enhance its product offerings?  
### Q5: What are the common use cases for discriminative models in business settings?  
### Q6: In what ways can understanding the differences between generative and discriminative models influence decision-making in a business context?  
### Q7: How can effective communication skills aid in explaining the benefits of generative models to stakeholders in a business environment?  
### Q8: What strategies can be employed to simplify the explanation of complex model types to a non-technical audience?  
### Q9: In your experience, how important is it to convey the differences between generative and discriminative models during team discussions about project approaches?