Build a 100% local decision engine from an open-source LLM, no retraining needed
udmrzn · x · 2026-09-21
An article walks through turning an open-source LLM into a fast, fully local decision engine without retraining. It explains next-token scoring, forcing choices via probability distributions over fixed options, and running inference locally with SGLang — a practical recipe for structured decision tasks where you don't want data leaving your machine.
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