### Q1: What is the fundamental difference between generative AI and traditional AI in terms of functionality?  
### Q2: How do Generative Adversarial Networks (GANs) operate, and what is their role in generating outputs?  
### Q3: Can you explain how latent space is utilized in Variational Autoencoders (VAEs) to create new data points?  
### Q4: How can understanding generative AI improve customer success strategies in a business context?  
### Q5: In what ways can autoregressive models enhance personalized marketing efforts?  
### Q6: How can businesses effectively implement different generative models to cater to diverse customer needs?  
### Q7: Why is it important to address ethical considerations when utilizing generative AI in customer interactions?  
### Q8: What measures can be taken to ensure that generative AI does not perpetuate biases present in the training data?  
### Q9: How can effective communication of generative AI capabilities to customers improve their trust and engagement?