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As an AI engineer, you are tasked with optimizing an Azure OpenAI model for a sentiment analysis application. The model should be able to accurately classify the sentiment of text data as positive, negative, or neutral. Which of the following steps should you take to achieve this?
A
Use a pre-trained model designed for a different NLP task and fine-tune it on a sentiment analysis dataset.
B
Train a model from scratch using a sentiment analysis dataset without any pre-training.
C
Combine multiple pre-trained models and fine-tune them together on a sentiment analysis dataset.
D
Use a single pre-trained model without any fine-tuning for sentiment analysis.