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Consider a scenario where you need to fine-tune an Azure OpenAI model for a highly specialized engineering task, such as predicting structural failures in buildings. What steps would you take to ensure the model is fine-tuned effectively and generates reliable predictions? Describe the fine-tuning process in detail.
A
Use a generic fine-tuning approach without considering the specifics of the engineering task.
B
Preprocess the data to include only relevant engineering parameters and then fine-tune the model.
C
Fine-tune the model with a small subset of the data to save time.
D
Fine-tune the model without validating the results.