Open Thoughts

What is Open Thoughts?

Open Thoughts is a collaborative project led by Bespoke Labs and the DataComp community aimed at curating high-quality open-source inference datasets for training advanced small models. This initiative brings together researchers and engineers from prestigious institutions like Stanford University, UC Berkeley, and the University of Washington. The goal is to enhance inference model performance, particularly in areas such as math and code reasoning, where there is growing demand.

The project is currently free and accessible to researchers, developers, AI enthusiasts, and educators who are interested in advancing inference models. Its open-source nature makes it an invaluable resource for AI education and research.

Researchers can use the datasets provided by Open Thoughts to train models that surpass existing benchmarks.

Developers can leverage these datasets and tools to develop new inference algorithms.

Educators can incorporate these resources into their teaching to help students understand and apply inference models.

Key features include:

Open-source inference datasets for training small models

Support for math and code inference benchmark tests

Use of Evalchemy tool for model evaluation

Collaboration with multiple research institutions and communities to gather high-quality resources

Sharing the latest results on model performance within the community

Regular updates through blogs on project progress and technical developments

To get started with Open Thoughts:

1. Visit the Open Thoughts website to learn about the project's background and goals.

2. Browse the available datasets and model performance results.

3. Download the relevant datasets and evaluation tool Evalchemy.

4. Train your own inference models using the datasets and evaluate them with Evalchemy.

5. Follow the project blog for the latest updates and technical insights.