Dec 10, 2024
Transforming Businesses With LLMs: Risks And Use Cases
Posted by Shubham Ghosh Roy in categories: business, governance, security
Conversely, proprietary LLMs typically offer robust security features but still pose data privacy and control risks. Using these models involves sharing sensitive data with a third-party provider, which could lead to regulatory penalties if a breach occurs.
LLMs also lack transparency regarding their training data and how datasets are formed. Be mindful of potential bias and fairness issues and consider a human-in-the-loop approach, where specialists review and manage the model’s output.
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