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A healthcare analytics company aims to enhance its AI capabilities by fine-tuning a foundation model (FM) in Amazon Bedrock to specialize in medical text analysis. To achieve this, the company plans to use its own task-specific labeled dataset, consisting of annotated clinical notes and medical records, to fine-tune the model for greater accuracy in extracting relevant information. Given these requirements, which approach would be most suitable?