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Topic: Model Openness Framework

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in Artificial Intelligence

Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning

The case for the MOF: seventeen lifecycle components, three classes of openness, and a way to say what a model release actually includes.

Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning

Presenting the MOF with Anni Lai — seventeen lifecycle components, three classes of openness.

Matt White

Open source AI, governance and research. Berkeley, California.

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