Prompting - Zero-Shot Prompting
Ask Model to Repeat the Query
Cookbook
Instructor - Basics
- Basic use
- Basic use via mixin
- Handling errors with `Maybe` helper class
- Modes
- Making some fields optional
- Private vs public object field
- Automatic correction based on validation results
- Using attributes
- Using LLM API connections from config file
- Validation
- Custom validation using Symfony Validator
- Validation across multiple fields
- Validation with LLM
Instructor - Advanced
- Context caching (structured output)
- Customize parameters of LLM driver
- Custom prompts
- Using structured data as an input
- Extracting arguments of function or method
- Streaming partial updates during inference
- Providing example inputs and outputs
- Extracting scalar values
- Extracting sequences of objects
- Streaming
- Structures
Instructor - Troubleshooting
Instructor - LLM API Support
Instructor - Extras
- Extraction of complex objects
- Extraction of complex objects (Anthropic)
- Extraction of complex objects (Cohere)
- Extraction of complex objects (Gemini)
- Image processing - car damage detection
- Image to data (OpenAI)
- Image to data (Anthropic)
- Image to data (Gemini)
- Generating JSON Schema from PHP classes
- Generating JSON Schema dynamically
- Create tasks from meeting transcription
- Translating UI text fields
- Web page to PHP objects
Polyglot - LLM Basics
Polyglot - LLM Advanced
Polyglot - LLM Troubleshooting
Polyglot - LLM API Support
Polyglot - LLM Extras
Prompting - Zero-Shot Prompting
Prompting - Few-Shot Prompting
Prompting - Thought Generation
Prompting - Miscellaneous
- Arbitrary properties
- Consistent values of arbitrary properties
- Chain of Summaries
- Chain of Thought
- Single label classification
- Multiclass classification
- Entity relationship extraction
- Handling errors
- Limiting the length of lists
- Reflection Prompting
- Restating instructions
- Ask LLM to rewrite instructions
- Expanding search queries
- Summary with Keywords
- Reusing components
- Using CoT to improve interpretation of component data
Prompting - Zero-Shot Prompting
Ask Model to Repeat the Query
Overview
How can we enhance a model’s understanding of a query?
Re2 (Re-Reading) is a technique that asks the model to read the question again.
Re-Reading Prompting
Prompt Template:
- Read the question again: [query]
- [critical thinking prompt]
A common critical thinking prompt is: “Let’s think step by step.”
Example
<?php
require 'examples/boot.php';
use Cognesy\Instructor\Features\Schema\Attributes\Description;
use Cognesy\Instructor\Instructor;
class Response {
#[Description("Repeat user's query.")]
public string $query;
#[Description("Let's think step by step.")]
public string $thoughts;
public int $answer;
}
class RereadAndRespond {
public function __invoke(string $query) : Response {
return (new Instructor)->respond(
messages: $query,
responseModel: Response::class,
);
}
}
$response = (new RereadAndRespond)(
query: <<<QUERY
Roger has 5 tennis balls. He buys 2 more cans of tennis balls.
Each can has 3 tennis balls.
How many tennis balls does he have now?
QUERY,
);
echo "Answer:\n";
dump($response);
?>
References
On this page