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--- | ||
title: 'Generate Follow-Up Questions' | ||
docname: 'follow_up_questions' | ||
--- | ||
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## Overview | ||
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Models can sometimes correctly answer sub-problems but incorrectly answer the overall query. This is known as the compositionality gap1. | ||
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How can we encourage a model to use the answers to sub-problems to correctly generate the overall solution? | ||
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Self-Ask is a technique which use a single prompt to: | ||
- decide if follow-up questions are required | ||
- generate the follow-up questions | ||
- answer the follow-up questions | ||
- answer the main query | ||
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## Example | ||
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```php | ||
<?php | ||
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$loader = require 'vendor/autoload.php'; | ||
$loader->add('Cognesy\\Instructor\\', __DIR__ . '../../src/'); | ||
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use Cognesy\Instructor\Instructor; | ||
use Cognesy\Instructor\Schema\Attributes\Description; | ||
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class FollowUp { | ||
#[Description("The follow-up question")] | ||
public string $question; | ||
#[Description("The answer to the follow-up question")] | ||
public string $answer; | ||
} | ||
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class Response { | ||
public bool $followUpsRequired; | ||
/** @var FollowUp[] */ | ||
public array $followUps; | ||
public string $finalAnswer; | ||
} | ||
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class RespondWithFollowUp { | ||
private $prompt = <<<QUERY | ||
Query: {query} | ||
Are follow-up questions needed? | ||
If so, generate follow-up questions, their answers, and then the final answer to the query. | ||
QUERY; | ||
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public function __invoke(string $query) : Response { | ||
return (new Instructor)->respond( | ||
messages: str_replace('{query}', $query, $this->prompt), | ||
responseModel: Response::class, | ||
); | ||
} | ||
} | ||
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$response = (new RespondWithFollowUp)( | ||
query: "Who was president of the U.S. when superconductivity was discovered?", | ||
); | ||
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echo "Answer:\n"; | ||
dump($response); | ||
?> | ||
``` | ||
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## References | ||
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1. [Measuring and Narrowing the Compositionality Gap in Language Models](https://arxiv.org/abs/2210.03350) |
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