<ul><li>LLMs rely on complex architectures like transformers to process and understand text.</li><li>SLMs use simpler architectures like RNNs or CNNs and are more suitable for resource-constrained environments.</li><li>Future trends include smaller yet powerful LLMs, specialized SLMs, hybrid approaches, and addressing ethical concerns.</li><li>Understanding the differences between LLMs and SLMs helps organizations choose the right tool for their needs in language AI.</li></ul>

LLMs vs. Small Language Models: A Comparative Analysis

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