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# ⛓️🛠️ ChainForge
**An open-source visual programming environment for battle-testing prompts to LLMs.**
**_(Have you used ChainForge for an actual task? We'd like to interview you! Contact Ian on [Twitter](https://twitter.com/IanArawjo) on via [email](http://ianarawjo.therottingcartridge.com/docs/ian-arawjo-cv.pdf). Interviews help us support the continued development of the project. :)_**
<img width="1517" alt="banner" src="https://github.com/ianarawjo/ChainForge/assets/5251713/570879ef-ef8a-4e00-b37c-b49bc3c1a370">
ChainForge is a data flow prompt engineering environment for analyzing and evaluating LLM responses. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can:
@ -116,23 +114,22 @@ Unlike these projects, we are focusing on supporting evaluation across prompts,
## How to collaborate?
We welcome open-source collaborators. If you want to report a bug or request a feature, open an [Issue](https://github.com/ianarawjo/ChainForge/issues). We also encourage users to implement the requested feature / bug fix and submit a Pull Request.
_(If you are an investor or funder, send us a message via email.)_
We welcome open-source collaborators. If you want to report a bug or request a feature, open an [Issue](https://github.com/ianarawjo/ChainForge/issues). We also encourage users to implement the requested feature / bug fix and submit a Pull Request.
------------------
# Cite Us
If you use ChainForge for research purposes, or build upon the source code, we ask that you cite this project in any related publications.
The BibTeX you can use for now is:
If you use ChainForge for research purposes, or build upon the source code, we ask that you cite our [arXiv pre-print](https://arxiv.org/abs/2309.09128) in any related publications.
The BibTeX you can use is:
```bibtex
@misc{Arawjo_2023,
author = {Arawjo, Ian and Vaithilingam, Priyan and Swoopes, Chelse and Wattenberg, Martin and Glassman, Elena},
title = {ChainForge},
year = {2023},
howpublished = {\url{https://www.chainforge.ai/}},
note = {Accessed: 2023-07-21}
@misc{arawjo2023chainforge,
title={ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing},
author={Ian Arawjo and Chelse Swoopes and Priyan Vaithilingam and Martin Wattenberg and Elena Glassman},
year={2023},
eprint={2309.09128},
archivePrefix={arXiv},
primaryClass={cs.HC}
}
```