Fine-Tuning Jobs Quiz
Quiz covering Fine-Tuning Language Models
Fine-Tuning Jobs Quiz
5 questions | Pass: 70% | Earn 25 points
Questions in this quiz
A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.
- 1
What is the primary goal of fine-tuning a pre-trained language model?
- 2
When preparing a dataset for supervised fine-tuning, which format is generally required for an instruction-following model?
- 3
What is the primary risk of setting the learning rate too high during a fine-tuning job?
- 4
Why is 'Catastrophic Forgetting' a significant concern in fine-tuning?
- 5
When utilizing Low-Rank Adaptation (LoRA) for fine-tuning, what is the primary technical mechanism that enables efficiency?
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