prompt2model 0.0.4

A library for distilling models from prompts.

Prompt2Model - Generate Deployable Models from Instructions

Prompt2Model is a system that takes a natural language task description (like the prompts used for LLMs such as ChatGPT) to train a small special-purpose model that is conducive for deployment.

Quick Start

Notebook

You can run our demo of Prompt2Model through a notebook:

• Open Locally
• Open in Colab

Command Line

You can also run through the command line.

pip install prompt2model

Our current Prompt2Model implementation uses the OpenAI API. Accordingly, you need to:

• Sign up on the OpenAI website and obtain an OpenAI API key.

• Set the environment variable OPENAI_API_KEY to your API key by running the following command in your terminal:

export OPENAI_API_KEY=<your key>

You can then run

python prompt2model_demo.py

to create a small model from a prompt, as shown in the demo video below. This script must be run on a device with an internet connection to access the OpenAI API. For best results, run this script on a device with a GPU for training your model.

Demo

https://github.com/neulab/prompt2model/assets/2577384/8d73394b-3028-4a0b-bdc3-c127082868f2

Tips and Examples to Write a Good Prompt

You can see the tips and examples to write a good prompt in prompt_examples.

Components

The prompt2model package is composed of several components, each designed to fulfill a specific purpose. To gain a comprehensive understanding of how to utilize each component effectively, please consult the readme.md file situated in the directory of the respective component. These files can be found at ./prompt2model/<component>/readme.md. They provide detailed information and instructions on customizing and maximizing the functionality of each component within the package.

Contribution

If you're interested in contributing to the prompt2model project, please

• refer to CONTRIBUTING.md
• open an issue or submit a PR
• join us on discord
• or reach out to @vijaytarian and @Chenan3_Zhao on Twitter

Cite

We have written a paper describing Prompt2Model in detail.

If you use Prompt2Model in your research, please cite our paper:

@misc{prompt2model,
      title={Prompt2Model: Generating Deployable Models from Natural Language Instructions},
      author={Vijay Viswanathan and Chenyang Zhao and Amanda Bertsch and Tongshuang Wu and Graham Neubig},
      year={2023},
      eprint={2308.12261},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}