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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does CLM stand for and what does it do?
💡 Hint: Think about how a sentence continues.
Question 2
Easy
Name one challenge when selecting data sources for training LLMs.
💡 Hint: Consider what might impact fairness in models.
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 does Causal Language Modeling (CLM) focus on?
- Predicting masked words
- Generating next words
- Summarizing text
💡 Hint: It's about continuing a sentence.
Question 2
True or False: Masked Language Modeling is used in GPT models.
- True
- False
💡 Hint: Think about which model uses masking.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an LLM training pipeline that addresses potential biases in the dataset while ensuring diverse data representation.
💡 Hint: Consider diversity as a strategy to enhance model fairness.
Question 2
Evaluate the trade-offs between model size and training time for an LLM. How can infrastructure be optimized to manage these trade-offs?
💡 Hint: Think about the efficiency of computation as model sizes increase.
Challenge and get performance evaluation