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참고/instructor-main/docs/prompting/zero_shot/role_prompting.md

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+---
+title: "Role Prompting"
+description: "Role prompting, or persona prompting, assigns a role to the model."
+---
+
+How can we increase a model's performance on open-ended tasks?
+
+Role prompting, or persona prompting, assigns a role to the model. Roles can be:
+
+ - **specific to the query**: *You are a talented writer. Write me a poem.*
+ - **general/social**: *You are a helpful AI assistant. Write me a poem.*
+
+## Implementation
+
+```python hl_lines="27"
+import openai
+import instructor
+from pydantic import BaseModel
+
+client = instructor.from_provider("openai/gpt-5-nano")
+
+
+class Response(BaseModel):
+    poem: str
+
+
+def role_prompting(query, role):
+    return client.create(
+        model="gpt-4o",
+        response_model=Response,
+        messages=[
+            {
+                "role": "system",
+                "content": f"{role} {query}",
+            },
+        ],
+    )
+
+
+if __name__ == "__main__":
+    query = "Write me a short poem about coffee."
+    role = "You are a renowned poet."
+
+    response = role_prompting(query, role)
+    print(response.poem)
+    """
+    In the morning's gentle light,
+    A brew of warmth, dark and bright.
+    Awakening dreams, so sweet,
+    In every sip, the day we greet.
+
+    Through the steam, stories spin,
+    A liquid muse, caffeine within.
+    Moments pause, thoughts unfold,
+    In coffee's embrace, we find our gold.
+    """
+```
+
+!!! info "More Role Prompting"
+    To read about a systematic approach to choosing roles, check out [RoleLLM](https://arxiv.org/abs/2310.00746).
+
+    For more examples of social roles, check out [this](https://arxiv.org/abs/2311.10054) evaluation of social roles in system prompts..
+
+    To read about using more than one role, check out [Multi-Persona Self-Collaboration](https://arxiv.org/abs/2307.05300).
+
+## References
+
+<sup id="ref-1">1</sup>: [RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Lanuage Models](https://arxiv.org/abs/2310.00746)
+<sup id="ref-2">2</sup>: [Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts ](https://arxiv.org/abs/2311.10054)
+<sup id="ref-4">3</sup>: [Unleashing the Emergent Cognitive Synergy in Large Lanuage Models: A Task-Solving Agent through Multi-Persona Self-Collaboration ](https://arxiv.org/abs/2307.05300)