PromptBreeder

screen shot for PromptBreeder

Google Deepmind's PromptBreeder for automated prompt engineering implemented in langchain expression language.

PromptBreeder is an open-source tool that automates the process of prompt engineering, leveraging the power of genetic algorithms to optimize prompts for Large Language Models (LLMs). Built using Langchain Expression Language, it currently focuses on the Cohere LLM and lets users define a problem and use mutation prompts and thinking styles to explore a space of prompts that yield the best answer to that problem. Users can customize parameters like population size and the number of evolutionary generations to refine prompts. This systematic approach helps uncover high-performing prompts that might be missed through manual creation. It provides a transparent method for developing robust and effective prompts for specific tasks, making the power of advanced AI more accessible.

PromptBreeder offers both a command-line interface and a Streamlit-based local UI. It evaluates prompt effectiveness by making several calls to the Cohere model, analyzing the quality of the response, and uses this feedback to guide the evolutionary process. This iterative optimization involves mutation and crossover, mirroring biological evolution to iteratively improve the quality of generated prompts. The tool is provided under an MIT license. By automating the prompt engineering process, PromptBreeder saves time, reduces development costs, and unlocks the potential for more effective interaction with LLMs.

https://github.com/vaughanlove/PromptBreeder

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