2.3 - How Are These Models Trained?
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Practice Questions
Test your understanding with targeted questions
What is data collection in the context of training language models?
💡 Hint: Think of where the model gets its information.
Define tokenization.
💡 Hint: It's like cutting a sentence into smaller parts.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of tokenization in training language models?
💡 Hint: Think about the process of making data manageable.
True or False: Fine-tuning helps align a model's responses with human expectations.
💡 Hint: Consider how feedback can change one’s work.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a training pipeline for a new language model, including strategies for each step from data collection to RLHF.
💡 Hint: Think about each step's contribution to the model’s capability.
Analyze how insufficient data collection may impact the performance of a language model. What steps could be taken to mitigate this issue?
💡 Hint: Consider the consequences of having a limited view versus a comprehensive one.
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