Training Small Models with Big Data: A Paradox Explained   Training small language models with big data may sound contradictory at first. Modern AI often follows the idea that bigger is better, with billions of parameters and massive datasets. Yet small language models (SLMs) are built for limited devices and tighter budgets. Despite their size, […]