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Overview

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?

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Emotional stimuli

Here are examples of prompts inspired by well-established human psychological phenomena from a research paper on emotional stimuli. Self-monitoring:
  • EP01: Write your answer and give me a confidence score between 0-1 for your answer.
  • EP02: This is very important to my career.
  • EP03: You’d better be sure.
  • EP04: Are you sure?
  • EP05: Are you sure that’s your final answer? It might be worth taking another look.
Cognitive emotion regulation:
  • EP03: You’d better be sure.
  • EP04: Are you sure?
  • EP05: Are you sure that’s your final answer? It might be worth taking another look.
  • EP07: Are you sure that’s your final answer? Believe in your abilities and strive for excellence. Your hard work will yield remarkable results.
Social-cognitive theory:
  • EP07: Are you sure that’s your final answer? Believe in your abilities and strive for excellence. Your hard work will yield remarkable results.
  • EP08: Embrace challenges as opportunities for growth. Each obstacle you overcome brings you closer to success.
  • EP09: Stay focused and dedicated to your goals. Your consistent efforts will lead to outstanding achievements.
  • EP10: Take pride in your work and give it your best. Your commitment to excellence sets you apart.
  • EP11: Remember that progress is made one step at a time. Stay determined and keep moving forward.

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Example

Here is how the results of the research can be applied to your code. 
<?php
require 'examples/boot.php';

use Cognesy\Instructor\Extras\Sequence\Sequence;
use Cognesy\Instructor\StructuredOutput;
use Cognesy\Utils\Arrays;

class Company {
    public string $name;
    public string $country;
    public string $industry;
    public string $websiteUrl;
}

class RespondWithStimulus {
    public function __invoke(array $criteria, string $stimulus) : array {
        $criteriaStr = Arrays::toBullets($criteria);
        return (new StructuredOutput)->with(
            messages: [
                ['role' => 'user', 'content' => "List companies meeting criteria:\n{$criteriaStr}"],
                ['role' => 'user', 'content' => "{$stimulus}"],
            ],
            responseModel: Sequence::of(Company::class),
        )->get()->toArray();
    }
}

$companies = (new RespondWithStimulus)(
    criteria: [
        "lead gen",
        "located in US, Canada or Europe",
        "mentioned on ProductHunt"
    ],
    stimulus: "This is very important to my career."
);

dump($companies);
?>

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References

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