What is a Small Language Model (SLM)?

Efficient AI: Doing More with Less

The Rise of Specialized and On-Device LLMs

Optimizing Performance for Targeted AI Applications

A **Small Language Model (SLM)** is a more **compact and efficient version of a Large Language Model (LLM)**. While LLMs are massive and require significant computational resources, SLMs are designed with fewer parameters, making them lighter, faster, and able to run on less powerful hardware, including edge devices (like smartphones or IoT devices). SLMs are typically fine-tuned for specific tasks or domains, allowing them to achieve high performance for those targeted applications with reduced operational costs and latency. Their growing importance in 2025 stems from the need for localized, private, and resource-efficient AI solutions, balancing capability with practical deployment. 🤏⚡