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Moderating inappropriate email messages

ChatGPT is a powerful tool that can be used to moderate inappropriate email messages. As an AI language model, it can understand natural language and identify content that violates the email policies or contains explicit material. ChatGPT can quickly and efficiently process large volumes of emails and prioritize them based on their level of inappropriateness. With ChatGPT, you can automate the process of moderating emails, saving time and resources for your team.

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Prompts

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Prompt # 1
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"Could you generate a comprehensive and finely detailed roster of terminologies or idioms that are predominantly employed as [specific inappropriate language] within the context of email subject lines? This should include various linguistic nuances, regional dialects, and internet slang, along with their potential implications, to ensure a robust understanding of the subject matter."

Prompt # 2
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"I need help reviewing emails that have been flagged for [inappropriate content type]. Can you assist me in identifying which ones require immediate action?"

Prompt # 3
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"Could you provide guidance on how to handle emails that contain [discriminatory language]? What actions should I take to ensure compliance with company policies?"

Prompt # 4
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"I need assistance reviewing emails that have been marked as [spam or suspicious] to determine if they contain any inappropriate content. Can you help me with this task?"

Prompt # 5
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"Can you suggest a process for identifying emails that have been sent from [specific external domains] that contain [offensive language or specific types of inappropriate content] or content that violates our company's policies? What tools or resources should I use?"

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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