This article was contributed by Vedrana Vidulin, Head of Responsible AI Unit at Intellias (LinkedIn). As AI becomes central to smart devices, embedded systems, and edge computing, the ability to run language models locally — without relying on the cloud — is essential. Whether it’s for reducing latency, improving data privacy, or enabling offline functionality, local AI […] The post How to Deploy Lightweight Language Models on Embedded Linux with LiteLLM appeared first on Linux.com...