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How to Deploy Lightweight Language Models on Embedded Linux with LiteLLM
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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...
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