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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does an LLM primarily do?
💡 Hint: Think about text generation.
Question 2
Easy
How many parts does a GAN consist of?
💡 Hint: One creates, the other evaluates.
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 does LLM stand for?
💡 Hint: The abbreviation relates to language.
Question 2
True or False: GANs consist of one neural network only.
💡 Hint: Remember the two-part nature of GANs.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a simple GAN architecture to generate images of cats. Describe each part's role and how they interact.
💡 Hint: Focus on how each network provides feedback.
Question 2
Evaluate a given scenario where an LLM produces a biased response. What steps would you take to correct it?
💡 Hint: Concentrate on training adjustments and monitoring.
Challenge and get performance evaluation