5 New Small Language Models (SLMs)

This week, the spotlight was on Small Language Models (SLMs). With fewer parameters and a more compact architecture, SLMs perform tasks faster than large-scale models, needing less processing power and memory. All that means that they can run on local devices like our smartphones.

Researchers are increasingly interested in SLMs for their potential to enable new applications, reduce inference costs, and enhance user privacy. When designed and trained carefully, small models can achieve results comparable to large-scale models.