Sponsors
We welcome financial support for the project from sponsors, investors, and funding organizations.
Call for sponsorship and investments
tinybig
is an open-source project developed and maintained by a small team at IFM Lab.
As an academic research team, we rely on financial funding, investments, and support to cover
research costs, hire new team members, and purchase equipment for the project.
How to support
Interested investors and sponsors may contact Jiawei Zhang via email.
How it started
The tinybig
library is developed and implemented by Jiawei Zhang at IFM Lab as a side research project
for model evaluations in the RPN paper.
Through extensive experimental investigations, we discovered the potential of tinybig
as a general framework to unify
diverse machine learning and deep learning models.
This motivated us to develop and release this library as a public package.
Future plans
tinybig
is an on-going research project. RPN v2.0 is currently in development, aiming to further improve the current
RPN model in terms of effectiveness, efficiency, and learning algorithms.
After testing and evaluating these new methods, modules, and models, we will gradually incorporate them into the tinybig
library.
Mature models developed from the tinybig
projects will be commercialized and published subsequently.
We estimate that RPN v2.0 and tinybig
v0.2.0 will be released before the end of 2024.