Thanks for posting this interesting question, to safeguard proprietary data when using a large language model (LLM), enforce strict data sanitization, access controls, and encryption measures. Implement dummy data for testing, have users sign non-disclosure agreements, and maintain detailed audit trails. Regularly update and patch the LLM, conduct third-party security audits, and educate personnel on security best practices. These measures collectively mitigate the risk of exposing sensitive information to external LLMs beyond your control.
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