Answer-first summary for fast verification
Answer: Preprocess the dataset to remove irrelevant information and then fine-tune the model.
Preprocessing the dataset to remove irrelevant information ensures that the model is trained on high-quality data. Fine-tuning the model with this processed dataset helps in generating medically accurate and relevant summaries.
Author: LeetQuiz Editorial Team
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You have been given a dataset of medical research papers that you need to use with an Azure OpenAI model to generate summaries. Describe the process you would follow to integrate this dataset with the model and fine-tune it to ensure the generated summaries are medically accurate and relevant.
A
Directly feed the dataset into the model without any preprocessing.
B
Preprocess the dataset to remove irrelevant information and then fine-tune the model.
C
Use the dataset only for initial training and not for fine-tuning.
D
Fine-tune the model without considering the quality of the dataset.
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