From Model to Inference System

AudienceProduct-minded engineers, IT specialists, AI project owners, technical founders
OutcomeExplain where data goes in a “local” setup and why weights alone do not equal privacy or production readiness.
Time14 min

A language model is not the same thing as an application. A model is a set of learned parameters — often called weights — that can generate or transform text when it receives an input. A runtime loads those weights, prepares the input, generates tokens, and returns an answer. An application adds everything else: interface, data access, authentication, logging, storage, and rules about what the model may do.…

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