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Vansh Khandelwal

Full Stack Web Devel... • 9h

Small language models (SLMs) are compact NLP models optimized for edge devices (smartphones, IoT, embedded systems). With fewer parameters they enable faster, low‑latency on‑device inference, improving privacy by avoiding cloud transfers, reducing energy use and cloud costs, and enabling real‑time responses. Use cases include healthcare (summarizing records, assisting diagnoses), automotive voice systems, personalized retail recommendations, and adaptive education tools. Ongoing research promises better context and reasoning; challenges include limited training data and bias, so ethical tuning and domain adaptation are crucial. Organizations should adopt SLMs for efficient, private edge AI.

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