Harnessing the power of AI to optimize prompt engineering, the `gpt-prompt-engineer` tool streamlines the process of finding the most effective prompts for AI models. It leverages models like GPT-4, GPT-3.5-Turbo, and Anthropic’s Claude 3 Opus to generate a range of prompts based on user-defined tasks and test cases. The tool then evaluates these prompts, ranking them using an ELO rating system to identify the top performers.
The latest update introduces a Claude 3 Opus version capable of auto-generating test cases and handling multiple input variables, enhancing its flexibility. Additionally, it features a classification version specifically for classification tasks, providing a scored table for each prompt’s performance.
Integration with Weights & Biases and Portkey offers optional logging and tracing functionalities, respectively. Users can easily set up the tool via Google Colab or Jupyter notebooks and start generating and testing prompts after adding their respective API keys.
The project is open for contributions, suggesting enhancements like diverse prompt generation styles and automatic test case creation. Licensed under MIT, `gpt-prompt-engineer` is a testament to the evolving synergy between AI and human creativity, with its creator, Matt Shumer, also highlighting the HyperWrite Personal Assistant as another innovative tool to explore.
Read more at GitHub…