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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a pretrained model?
💡 Hint: Think about the definition of a model in NLP.
Question 2
Easy
Name one tool used for fine-tuning NLP models.
💡 Hint: This tool is very popular for NLP tasks.
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 fine-tuning a pretrained model?
- To increase training time
- To adapt it for specific tasks
- To reduce model accuracy
💡 Hint: Think about what fine-tuning actually changes in the model.
Question 2
True or False: Fine-tuning requires a large dataset specific to the task.
- True
- False
💡 Hint: How does fine-tuning leverage the pretrained aspect?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where you are tasked with using a pretrained model for named entity recognition in a specific legal document context. What steps would you take to fine-tune the model effectively?
💡 Hint: Think about the components you need to prepare for such a task.
Question 2
Design a brief plan to use GPT-3 for creating a customer service chatbot. Outline how you would fine-tune it.
💡 Hint: Focus on understanding your audience’s needs and the model's capabilities.
Challenge and get performance evaluation