Practice - Training LLMs: Data, Objectives, and Scaling Laws
Practice Questions
Test your understanding with targeted questions
What does CLM stand for and what does it do?
💡 Hint: Think about how a sentence continues.
Name one challenge when selecting data sources for training LLMs.
💡 Hint: Consider what might impact fairness in models.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does Causal Language Modeling (CLM) focus on?
💡 Hint: It's about continuing a sentence.
True or False: Masked Language Modeling is used in GPT models.
💡 Hint: Think about which model uses masking.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.