<ul><li>This article provides a guide on setting up a local LLM service without the need for internet or a subscription, allowing for experimentation with application development.</li><li>It is a continuation of a previous article that detailed running LLM locally on the console and Web UI.</li><li>The current article focuses on using the locally served LLM API and integrating it into application development, with Python examples provided.</li><li>The previous article explains the process of downloading the Serving Engine, Ollama, and running it on LLM models like Meta’s LLaMa 3.</li></ul>

Deploying LLM APIs Offline on Your Local Machine

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