### Q1: What are models in Generative AI and how do they learn from training data?  
### Q2: How does the quality of training data affect the performance of a Generative AI model, and can you provide an example?  
### Q3: What are the key characteristics that differentiate Generative AI from Discriminative AI, and why is this distinction significant for developers?  
### Q4: In what ways can Generative AI be applied in marketing, and what benefits does it offer to businesses?  
### Q5: Can you discuss a specific example of Generative AI being used in art and design, and its potential impact on the creative process?  
### Q6: How can Generative AI contribute to the music industry, and what are the implications for artists and listeners?  
### Q7: What is a low-code approach to implementing Generative AI, and what are its advantages?  
### Q8: How would a mixed approach of coding and no-coding techniques enhance the development of Generative AI applications?  
### Q9: What communication skills are essential for effectively conveying complex concepts in Generative AI to a non-technical audience?