What is SLM?
Small Language Model
They are small artificial intelligence models that are trained with less data, work fast and provide efficient results even on low hardware.
Overview
SLM are artificial intelligence models focused on efficiency, trained with less data and a smaller architecture. Although they do not have as much general knowledge as the larger models, they can work on certain tasks very quickly and at low cost.
How it works
They are trained using fewer parameters (intrinsic connections). In this way, they can work even on your own computer or phone without the need for internet.
Where it is used
It is used in mobile applications, on local devices that require privacy, and in systems that only need to perform a specific task (e.g. text classification).
Commonly confused with
Considered weaker than LLMs; but they can perform as well or even better than an LLM on a given task.
Frequently asked questions
Is SLM less intelligent?
His general knowledge capacity is less, but he is highly skilled at the task he focuses on.
Why use SLM instead of huge LLM?
It is faster, consumes less energy, and is safer because your data does not leave your device.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →