Practice Introduction to Large Language Models (LLMs) - 15.2 | 15. Modern Topics – LLMs & Foundation Models | Advance Machine Learning
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15.2 - Introduction to Large Language Models (LLMs)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does LLM stand for?

💡 Hint: Think about what it processes.

Question 2

Easy

Name one advantage of using transformer architecture in LLMs.

💡 Hint: What helps in handling independence of words?

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 LLM stand for?

  • Large Language Model
  • Large Learning Model
  • Language Learning Model

💡 Hint: What is the key part of the name regarding language?

Question 2

True or False: LLMs only use numeric data for training.

  • True
  • False

💡 Hint: Think about what types of data LLMs handle.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How do the principles of self-attention in transformers enhance the performance of LLMs when dealing with complex sentences?

💡 Hint: Consider how a human reads and prioritizes words in sentences.

Question 2

Analyze the trade-offs involved in using generative versus masked language models. What situations are best suited for each?

💡 Hint: Think about which approach is suited for completion tasks versus generative storytelling.

Challenge and get performance evaluation