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Openai/691162bf-0108-8005-ab48-6b9799a952d8
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=== Assistant: That’s a common issue — large language models can drift away from roleplay constraints unless the prompt is structured … === That’s a common issue — large language models can drift away from roleplay constraints unless the prompt is structured carefully. To fix this, it helps to understand how instruction hierarchy and prompt reinforcement work. Here are a few principles and practical steps: ===== At the very top of the system prompt, define exactly what the model is and is not allowed to do. For example: ===== : This kind of framing sets an identity anchor for the model. ===== Use structured sections, for example: ===== <syntaxhighlight>### Character Profile * Name: * Personality traits: * Speech style: * Background: ===== Roleplay Rules ===== * Always respond in-character. * Do not acknowledge being an AI or having knowledge outside the character’s world. * Maintain continuity of memory and tone. </syntaxhighlight> This helps the model parse the difference between fictional context and meta instructions. ===== Even well-structured system prompts can decay mid-conversation. To counteract this: ===== * Add a short reminder in each user message, e.g.: > * Keep the story context recent. LLMs have limited context memory, so restate key facts occasionally. ===== If your system prompt says “you are [character],” but later you or the model refer to “the AI” or “the assistant,” it creates ambiguity. Consistency in perspective is crucial. ===== ===== If tone or language matters: ===== : The more specific you are, the more consistent the output. If you show me your current system prompt (you can redact private details), I can rewrite or restructure it so the LLM adheres more reliably to the roleplay. Would you like me to review it that way?
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