In machine learning, a small model refers to a compact neural network with fewer parameters, designed for efficiency. It enables faster inference and lower resource consumption, often through techniques like pruning or quantization. These models are ideal for edge devices, mobile apps, and real-time applications, benefiting developers and businesses needing cost-effective, on-device AI without cloud dependency.
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