In machine learning, a larger model refers to a neural network with more parameters, enabling it to capture complex patterns and nuanced data relationships. It is used for advanced tasks like natural language processing, image generation, and predictive analytics. Data scientists and enterprises benefit from improved accuracy and performance, though it demands greater computational resources.
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