<ul data-eligibleForWebStory="false"><li>Data owners are increasingly seeking ways to protect their data from AI companies due to concerns around consent and compensation.</li><li>The Allen Institute for AI (Ai2) has introduced FlexOlmo, an architecture that allows models to be trained on private datasets without sharing raw data.</li><li>FlexOlmo lets data owners train separate models on their own data, which are later merged into a shared model using the mixture of experts (MoE) approach.</li><li>While FlexOlmo may be complex for some model developers, it offers a new collaborative AI development paradigm that allows data owners to participate on their own terms.</li></ul>

Empowering Data Owners: Train AI Without Sharing Your Data — Introducing FlexOlmo

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