gensai.aiAn SLM is a reduced-size language model designed to run with limited resources: on a modest server, a local machine or even an embedded device. Less general-purpose than an LLM, it is faster, cheaper and more frugal, which makes it a sound choice for targeted tasks or offline deployments.
In practice at Gensai
For the “Monsters of the Oceans” event at SEA LIFE Paris Val d'Europe, the entire voice chain ran on a Mac Mini, with no Internet connection, for two weeks. A small model was enough, because questions focused on a specific topic and answers relied on a validated knowledge base.
When should you choose an SLM?
When the task is targeted (sorting requests, summarising a report, answering on a specific corpus), when data must not leave the company, when latency matters (kiosk, mobile app) or when volume requires a very low cost per request. Examples: Phi-4-mini (Microsoft), Gemma 3 (Google), Ministral (Mistral AI).
Common mistake
Expecting an SLM to have the general knowledge of a large model. On open questions or long reasoning, an LLM remains more reliable. It is better to test the small model on real questions before deciding.
Same theme
Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
Related services: Chatbots and answer engines, Voice AI