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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of word embeddings?
π‘ Hint: Think about how machines understand language.
Question 2
Easy
Name one architecture of Word2Vec.
π‘ Hint: Consider how each architecture predicts words.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main advantage of using word embeddings?
π‘ Hint: Focus on what embeddings do with dimensionality.
Question 2
True or False: GloVe uses local context to create word embeddings.
π‘ Hint: Think about how GloVe and Word2Vec differ in method.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Discuss how word embeddings could enhance a chatbot's understanding of user queries.
π‘ Hint: Consider how embeddings allow machines to grasp context and meaning.
Question 2
Analyze the potential limitations of word embeddings in understanding complex phrases or idioms.
π‘ Hint: Think about how word meanings can change based on context.
Challenge and get performance evaluation