### Q1: What is the primary function of GPT-3 as a pre-trained model?  
### Q2: How does DALL-E create images from textual descriptions, and what is one example of its use?  
### Q3: What challenges might arise when fine-tuning StyleGAN for a specific project?  
### Q4: How can businesses leverage GPT-3 to streamline their content creation processes?  
### Q5: In what ways can DALL-E assist designers in overcoming creative blocks during the design process?  
### Q6: Describe a scenario where fine-tuning a pre-trained model could significantly enhance user experience.  
### Q7: How would you describe the balance between data quality and training time when fine-tuning a model?  
### Q8: What specific considerations should be made to ensure the fine-tuning process aligns with the intended use case?  
### Q9: Why is effective communication important when discussing the implementation of pre-trained models with a team?