Practice Introduction To Large Language Models (llms) (15.2) - Modern Topics – LLMs & Foundation Models
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Introduction to Large Language Models (LLMs)

Practice - Introduction to Large Language Models (LLMs)

Learning

Practice Questions

Test your understanding with targeted questions

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?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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Reference links

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