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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in training LLMs?
π‘ Hint: It involves gathering information.
Question 2
Easy
What is tokenization?
π‘ Hint: Think of it as dividing a whole into pieces.
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 primary purpose of data collection in LLM training?
π‘ Hint: Think about where the model gets its training material.
Question 2
True or False: Tokenization involves using whole sentences for training.
π‘ Hint: Consider the definition of tokenization.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Discuss the effects of poor tokenization choices on LLM performance.
π‘ Hint: Consider how misunderstanding language structures could affect predictions.
Question 2
Analyze the implications of using biased datasets during the data collection phase in model training.
π‘ Hint: Reflect on real-world consequences when machine learning models are trained on unrepresentative data.
Challenge and get performance evaluation