Practice Contextual Embeddings - 2.2 | Natural Language Processing (NLP) in Depth | Artificial Intelligence Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main advantage of contextual embeddings over static embeddings?

💡 Hint: Think about meaning changes in different sentences.

Question 2

Easy

Give an example of a word with different meanings in different contexts.

💡 Hint: Consider how the surrounding words change the meaning.

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 do contextual embeddings help in determining?

  • Static meanings of words
  • Variable meanings of words based on context
  • Only grammatical structures

💡 Hint: Think about how each sentence can change a word's meaning.

Question 2

BERT is a model that processes text bi-directionally.

  • True
  • False

💡 Hint: Consider the way it reads word order.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Provide a multifaceted sentence using the word 'bark' and explain how contextual embeddings would differentiate its meanings.

💡 Hint: Identify which phrase provides the key context.

Question 2

Explain how GPT could be improved using feedback from its contextual outputs in conversational applications.

💡 Hint: Consider the feedback loops in conversational AI.

Challenge and get performance evaluation