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A social media platform uses a generative AI model to automatically generate summaries of user-submitted...

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A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?

A.

Implement stricter safety settings to filter out potentially misinterpreted content altogether.

B.

Increase the temperature parameter of the model to encourage more varied and less literal interpretations.

C.

Decrease the output length of the summaries to make them more concise.

D.

Incorporate a human-in-the-loop (HITL) review process to refine the summaries.

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