Search code, repositories, users, issues, pull requests...

TL;DR: OneTwo is a Python library designed to simplify interactions with large (language and multimodal) foundation models, primarily aimed at researchers in prompting and prompting strategies.

Foundation Models are increasingly being used in complex scenarios with multiple back-and-forth interactions between the model and some traditional code (possibly generated by the model itself). This leads to the emergence of programs that combine ML models with traditional code. The goal of the OneTwo library is to enable the creation and execution of such programs. It is designed for researchers (and developers) who want to explore how to get the best out of foundational models in a situation where it is not necessarily possible to change their weights (i.e. perform fine-tuning).

You may want to install the package in a virtual environment, in which case you will need to start a virtual environment with the following command:

Leave a Comment