Quiz Part I
Short Answer Questions
11. Briefly explain why beam search is used when generating text summaries or translations.
12. Provide an example of the Helsinki-NLP model name you would use for French-to-English translation.
13. What is the purpose of the length_penalty parameter in text generation with T5?
14. How would you handle text inputs that exceed the token limit of the T5 model?
15. Explain one real-world use case of machine translation using MarianMT.
Short Answer Questions
11. Briefly explain why beam search is used when generating text summaries or translations.
12. Provide an example of the Helsinki-NLP model name you would use for French-to-English translation.
13. What is the purpose of the length_penalty parameter in text generation with T5?
14. How would you handle text inputs that exceed the token limit of the T5 model?
15. Explain one real-world use case of machine translation using MarianMT.
Short Answer Questions
11. Briefly explain why beam search is used when generating text summaries or translations.
12. Provide an example of the Helsinki-NLP model name you would use for French-to-English translation.
13. What is the purpose of the length_penalty parameter in text generation with T5?
14. How would you handle text inputs that exceed the token limit of the T5 model?
15. Explain one real-world use case of machine translation using MarianMT.
Short Answer Questions
11. Briefly explain why beam search is used when generating text summaries or translations.
12. Provide an example of the Helsinki-NLP model name you would use for French-to-English translation.
13. What is the purpose of the length_penalty parameter in text generation with T5?
14. How would you handle text inputs that exceed the token limit of the T5 model?
15. Explain one real-world use case of machine translation using MarianMT.