This describes an Artificial Intelligence system that runs on a company's own computers. It's designed with separate software parts, like an instructor for training and a learner for execution, that can be set up and controlled by the company's IT staff, who also have physical access to the machines and control over their internal network.
Why it matters: Filed before the widespread adoption of advanced MLOps platforms and declarative AI configuration tools, which make defining complex training plans and managing distributed, containerized AI engines on-premises much more feasible and desirable for data privacy.
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