Map the Risk Before You Download the Model
Define a local-LLM use case by mapping purpose, data, risk, and ownership before model selection.
The move: map the local run before you pick the model. A local LLM changes where risk lives. The prompt may never leave your machine, but the run now touches local files, shells, logs, embeddings, model weights, and whatever decision the output influences. That is why the first professional move is not model shopping. It is mapping context. Use four fields. Job names the narrow work the model may do. Data class names what it may read and whether that data belongs on the machine. Unacceptable harm names the failure that would make the run a bad idea. Owner names…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in