Combining multiple large language models (LLMs) can enhance AI outputs to better reflect human preferences, but introduces safety concerns. An LLM judge can evaluate and ensure alignment of generative model outputs with human values, potentially mitigating risks from rogue AIs. This judge can intervene to prevent harmful actions by generative AI, effectively acting as a safeguard against malevolent behaviors. While it may not eliminate the risks entirely, the LLM judge offers a mechanism to confine and control problematic AI actions, providing a layer of protection for human interests.

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