567-labs--instructor/docs/prompting/zero_shot/emotion_prompting.md

title, description

title	description
Emotion Prompting	Adding phrases with emotional significance to humans can help enhance the performance of a language model.

Do language models respond to emotional stimuli?

Adding phrases with emotional significance to humans can help enhance the performance of a language model. This includes phrases such as:

• This is very important to my career.
• Take pride in your work.
• Are you sure?

!!! info For more examples of emotional stimuli to use in prompts, look into EmotionPrompt -- a set of prompts inspired by well-established human psychological phenomena.

Implementation

import openai
import instructor
from pydantic import BaseModel
from typing import Iterable


class Album(BaseModel):
    name: str
    artist: str
    year: int


client = instructor.from_provider("openai/gpt-5-nano")


def emotion_prompting(query, stimuli):
    return client.create(
        model="gpt-4o",
        response_model=Iterable[Album],
        messages=[
            {
                "role": "user",
                "content": f"""
                {query}
                {stimuli}
                """,
            }
        ],
    )


if __name__ == "__main__":
    query = "Provide me with a list of 3 musical albums from the 2000s."
    stimuli = "This is very important to my career."  # (1)!

    albums = emotion_prompting(query, stimuli)

    for album in albums:
        print(album)
        #> name='Kid A' artist='Radiohead' year=2000
        #> name='The Marshall Mathers LP' artist='Eminem' year=2000
        #> name='The College Dropout' artist='Kanye West' year=2004

1. The phrase This is very important to my career is used as emotional stimuli in the prompt.

References

¹: Large Language Models Understand and Can be Enhanced by Emotional Stimuli