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#1. What is a key advantage of transfer learning in the context of ChatGPT?

#2. What is the primary purpose of ChatGPT?

#3. In what way can ChatGPT handle multi-modal inputs?

#4. What is a consideration when deploying ChatGPT-powered applications in real-world environments?

#5. What is an important consideration when exploring and addressing bias in language models?

#6. In which industry might ChatGPT be particularly useful for generating educational content?

#7. How can prompt engineering address ambiguity in language models?

#8. How can prompt engineering contribute to making ChatGPT more domain-specific?

#9. Why is incorporating user feedback important in refining ChatGPT responses?

#10. In which industry might ChatGPT be particularly useful for generating ideas and outlines?

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