gpt-prompt-engineer: The tool for perfect code prompt creation
An open-source project hosted on GitHub, gpt-prompt-engineer automates the process of prompt creation and evaluation. This tool uses advanced methodologies such as GPT-4 and GPT-3.5-Turbo for generating potential prompts and an ELO rating system for evaluating the performance of the prompts.
1 billion
United States of America
Powerful Features
Discover what makes GPT Prompt Engineer stand out from the competition
Prompt Generation
Using GPT-4 and GPT-3.5-Turbo, gpt-prompt-engineer generates a plethora of potential prompts on the basis of given use-case and associated test cases.
Prompt Testing & Evaluation
After generation, each prompt is tested and their performance is evaluated via an ELO rating system.
Classification Version
The tool provides a unique feature of handling classification tasks by matching expected outputs to test cases and scoring each prompt accordingly.
Weights & Biases Logging
This optional feature allows for detailed tracking of configs, system and user prompts, test cases, and final ELO rating for each generated prompt.
Portkey
This feature provides an optional tool to log and trace all the prompt chains and their responses.
Real-World Applications
See how GPT Prompt Engineer can transform your workflow and boost productivity
Automated Code Prompt Generation
Easily generates code prompts based on provided use-case and associated test cases.
Prompt Testing & Evaluation
Helps in evaluation and comparison of multiple prompts using the ELO rating system for enhanced decision-making.
For Classification Tasks
Ideal for classification tasks, matching test case output to expected 'true' or 'false' outcomes.
For Detailed Logging
Comprehensive logging and tracking of prompt creation details, test case information and final ELO rating of each prompt.
Final Thoughts
gpt-prompt-engineer is a compelling tool for developers, data scientists, and machine learning enthusiasts aiming for automated and streamlined prompt generation and evaluation. The project is open-source and contributions are welcome.
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