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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a transformer in AI?
💡 Hint: Think about how AI understands language.
Question 2
Easy
What component of transformers processes input data?
💡 Hint: Start with the process of input before generating output.
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 function of a transformer model?
💡 Hint: Focus on what makes transformers different from traditional models.
Question 2
True or False: The decoder in a transformer primarily focuses on processing input data.
💡 Hint: Consider the roles of encoder and decoder in the architecture.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Design a new application of transformers beyond text generation, and explain how it would function.
💡 Hint: Think about what kind of data can be interpreted in a parallel way.
Question 2
Analyze a scenario where bias in transformer models can affect the results. Propose a method to mitigate this issue.
💡 Hint: Consider how data representation impacts model learning.
Challenge and get performance evaluation