Practice Modern Nlp Models (9.7) - Natural Language Processing (NLP)

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does BERT stand for?
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Look for its structure and how it processes input.
Question 2.
What is a key capability of GPT?
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Think about its autoregressive nature.
3Question 3.
What model focuses on generating coherent text?
- BERT
- GPT
- DistilBERT
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Remember the key function of each model.
4Question 4.
True or False: RoBERTa is a modified version of BERT that improves its performance.
- True
- False
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Think about the improvements in BERT’s successor.
Question 5.
Describe a scenario where BERT's functionality is critical compared to GPT. Why would BERT be the better choice?
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Consider the differences in focus between understanding and generating.
Question 6.
Propose a combined application that utilizes both BERT's understanding and GPT's generation capabilities. Explain how they would enhance each other's functionalities.
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Reflect on how each can address different aspects of customer service.

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