A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Web2’s data monopolies lock users into centralized systems, limiting control over personal information and hindering competition. This decentralized AI personalization protocol offers an alternative.
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