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Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is emerging that suggests a surprising shift: smaller may actually be better. According to a recent study by NVIDIA researchers, small language models (SLMs), rather than their larger counterparts large language models (LLMs), could become the true backbone of the next generation of intelligent enterprises. The age of “bigger is better” may be giving way to “smaller is smarter.”
