Fine-Tuning Language Models Quiz

What you'll be asked

1. What is the primary purpose of fine-tuning a Large Language Model (LLM) on Azure?
2. When preparing data for fine-tuning an Azure OpenAI model, what is the required file format?
3. Which of the following is a key advantage of using LoRA (Low-Rank Adaptation) during the fine-tuning process?
4. If you notice that your fine-tuned model is performing perfectly on the training data but failing on new, unseen inputs, what is the most likely cause?
5. During the fine-tuning process on Azure, how does the 'epoch' hyperparameter influence model training?

Answers and explanations come after you submit.