Practice Modern NLP Models - 9.7 | 9. Natural Language Processing (NLP) | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does BERT stand for?

πŸ’‘ Hint: Look for its structure and how it processes input.

Question 2

Easy

What is a key capability of GPT?

πŸ’‘ Hint: Think about its autoregressive nature.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What model focuses on generating coherent text?

  • BERT
  • GPT
  • DistilBERT

πŸ’‘ Hint: Remember the key function of each model.

Question 2

True or False: RoBERTa is a modified version of BERT that improves its performance.

  • True
  • False

πŸ’‘ Hint: Think about the improvements in BERT’s successor.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe a scenario where BERT's functionality is critical compared to GPT. Why would BERT be the better choice?

πŸ’‘ Hint: Consider the differences in focus between understanding and generating.

Question 2

Propose a combined application that utilizes both BERT's understanding and GPT's generation capabilities. Explain how they would enhance each other's functionalities.

πŸ’‘ Hint: Reflect on how each can address different aspects of customer service.

Challenge and get performance evaluation