SLMs to complement LLMs: Edge speed vs. Cloud scale
goyalshaliniuk · x · 2026-08-19
This post discusses the complementary roles of Small Language Models (SLMs) and Large Language Models (LLMs). While LLMs dominate the cloud with general capabilities but at high cost and latency, SLMs focus on narrow domains with lightweight training, enabling low-latency on-device inference.
The author argues the future isn't SLMs replacing LLMs, but using them together: LLMs for scale in the cloud, and SLMs for speed and efficiency on the edge (IoT, mobile, embedded).
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