Practice Step-by-Step Process - 2.3.1 | Understanding AI Language Models | Prompt Engineering fundamental course
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the first step in training LLMs?

💡 Hint: It involves gathering information.

Question 2

Easy

What is tokenization?

💡 Hint: Think of it as dividing a whole into pieces.

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 is the primary purpose of data collection in LLM training?

  • To generate responses
  • To gather a variety of text sources
  • To evaluate model performance

💡 Hint: Think about where the model gets its training material.

Question 2

True or False: Tokenization involves using whole sentences for training.

  • True
  • False

💡 Hint: Consider the definition of tokenization.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss the effects of poor tokenization choices on LLM performance.

💡 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.

💡 Hint: Reflect on real-world consequences when machine learning models are trained on unrepresentative data.

Challenge and get performance evaluation