Presenter urges local LLM deployments for data privacy and control
Matthew Tiner told attendees the primary reason to run models locally is to keep sensitive data on-site and avoid sending it to commercial cloud models; he used a recent criminal case to illustrate that cloud chats may not be private.
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Matthew Tiner told the virtual audience that the foremost reason to run large language models locally is data privacy and control, particularly when models would process sensitive documents. "The 1st reason why you would run an AI locally is data privacy," he said, adding that cloud providers and free online tools can use user inputs in ways users may not expect.
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