eaot

Name	eaot JSON
Version	0.0.1 JSON
	download
home_page	https://github.com/kyegomez/eaot
Summary	Paper - Pytorch
upload_time	2023-09-21 02:44:22
maintainer
docs_url	None
author	Kye Gomez
requires_python	>=3.6,<4.0
license	MIT
keywords	artificial intelligence deep learning optimizers prompt engineering
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# 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](https://arxiv.org/pdf/2309.08532.pdf)

## Installation

You can install the package using pip

# Citation
```BibTeX
@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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