In the realm of machine learning, domain training is the process of fine-tuning a general-purpose AI model on specialized data from a specific industry or field. This enhances its accuracy for niche tasks like medical imaging or legal analysis. Data scientists and enterprises benefit most, as this customization reduces errors and improves performance within their unique operational context.
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