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The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"

Home Page: https://discord.gg/qUtxnK2NMf

License: MIT License

Makefile 51.52% Python 48.48%
artificial-intelligence gpt4 llama llama2 machine-learning prompt-engineering prompting

eaot's Introduction

Multi-Modality

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Agora's open source implementation of the paper: Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

PAPER LINK

Installation

`pip install eaot``

Citation

@misc{2309.08532,
Author = {Qingyan Guo and Rui Wang and Junliang Guo and Bei Li and Kaitao Song and Xu Tan and Guoqing Liu and Jiang Bian and Yujiu Yang},
Title = {Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers},
Year = {2023},
Eprint = {arXiv:2309.08532},
}

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eaot's Issues

Can you write a code usage example?

Can you write a code usage example? Thank you

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Code Release Schedule

Hello, thank you for your contributions to the Automatic Prompt Engineer. I noticed that your code hasn't been fully released. Do you know when you'll be uploading the remaining code?

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