What decision is the AI allowed to influence?
Private local AI applies this principle to local user or application, private data store and local inference host. Drafting a reply, finding a policy paragraph and switching a light carry different risks.…
Where may data travel and remain?
Private local AI applies this principle to model workload, memory and accelerator and offline requirement. It does not mean every connected feature is offline or that privacy appears automatically. Model downloads, telemetry,…
How is accuracy tested after launch?
Private local AI applies this principle to network-boundary check, latency sample and permission denial. Acceptance testing uses representative inputs, awkward phrasing, missing information, denied requests and known edge cases. The team records…
How is local AI hardware sized?
Workload matters more than parameter count alone. We test model format, context length, concurrent users, latency target, memory, accelerator support, power and cooling. A small model may answer quickly but miss required…