What Are Small Language Models (SLMs)? Key Differences, Real-World Examples & Training Data



Minimal Dependency On Hardware Specifications

SLMs eliminate the need for complex and heavy digital infrastructure and peripheral requirements for training and deployment. Since they are relatively smaller in size and functionality, they also consume less memory, making them ideal for implementation in edge devices and environments that are predominantly resource-constrained.