Meet Small Language Models: The lean, tool-using sibling of Large Language Models

Small language models (SLMs) are compact, task-focused transformer models designed to provide faster, lower-cost, and more controllable AI capabilities than large language models in enterprise settings. Rather than relying on broad memorized knowledge, they use APIs, databases, and enterprise systems to retrieve current information and perform specialized tasks such as customer-support summarization, sales quote generation, financial analysis, and HR policy assistance. Their smaller size enables low-latency deployment on local, edge, or restricted infrastructure while simplifying auditing, governance, and alignment with business rules. Because SLMs depend on reliable access to live, secure data, CData positions its Model Context Protocol Servers as a standardized interface that connects models to more than 270 enterprise systems, enforcing source-level permissions and producing structured, deterministic results without copying or reindexing data.

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