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.
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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.
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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