Practice GPT (Generative Pre-trained Transformer) - 9.7.2 | 9. Natural Language Processing (NLP) | Data Science Advance
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GPT (Generative Pre-trained Transformer)

9.7.2 - GPT (Generative Pre-trained Transformer)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does GPT stand for?

💡 Hint: Think of the three words that describe the model's features.

Question 2 Easy

What is the primary function of GPT?

💡 Hint: Focus on what this model can create.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of model is GPT?

Classification model
Generative model
Clustering model

💡 Hint: Consider what it means to generate something.

Question 2

True or False: GPT is based on Recurrent Neural Networks.

True
False

💡 Hint: Remember what we discussed about GPT's model structure.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Evaluate the impact of GPT in content generation industries. Discuss potential benefits and consequences.

💡 Hint: Think about both sides of the argument and how GPT influences the field.

Challenge 2 Hard

Design a simple application for GPT in education. Describe its features and potential benefits.

💡 Hint: Focus on the interactions that could benefit students most.

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Reference links

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