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Small language models (SLMs) are the smaller types of artificial intelligence models designed to comprehend, produce, and interpret natural language. Compared to large language models (LLMs), SLMs require significantly less computational power and storage to operate. Their design places a strong emphasis on obtaining optimal performance in particular tasks or under limited operating conditions making these models highly effective and adaptable.
