67 lines
1.9 KiB
Markdown
67 lines
1.9 KiB
Markdown
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---
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title: "Emotion Prompting"
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description: "Adding phrases with emotional significance to humans can help enhance the performance of a language model."
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---
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Do language models respond to emotional stimuli?
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Adding phrases with emotional significance to humans can help enhance the performance of a language model. This includes phrases such as:
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- This is very important to my career.
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- Take pride in your work.
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- Are you sure?
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!!! info
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For more examples of emotional stimuli to use in prompts, look into [EmotionPrompt](https://arxiv.org/abs/2307.11760) -- a set of prompts inspired by well-established human psychological phenomena.
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## Implementation
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```python hl_lines="34"
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import openai
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import instructor
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from pydantic import BaseModel
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from typing import Iterable
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class Album(BaseModel):
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name: str
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artist: str
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year: int
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client = instructor.from_provider("openai/gpt-5-nano")
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def emotion_prompting(query, stimuli):
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return client.create(
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model="gpt-4o",
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response_model=Iterable[Album],
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messages=[
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{
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"role": "user",
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"content": f"""
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{query}
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{stimuli}
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""",
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}
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],
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)
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if __name__ == "__main__":
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query = "Provide me with a list of 3 musical albums from the 2000s."
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stimuli = "This is very important to my career." # (1)!
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albums = emotion_prompting(query, stimuli)
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for album in albums:
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print(album)
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#> name='Kid A' artist='Radiohead' year=2000
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#> name='The Marshall Mathers LP' artist='Eminem' year=2000
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#> name='The College Dropout' artist='Kanye West' year=2004
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```
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1. The phrase `This is very important to my career` is used as emotional stimuli in the prompt.
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## References
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<sup id="ref-1">1</sup>: [Large Language Models Understand and Can be Enhanced by Emotional Stimuli](https://arxiv.org/abs/2307.11760)
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