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Post #1423 37
⚡️ SLM Model Weight Merging for Federated Multi-tenant Needs

This work looks at joining model weights for SLMs in a federated setup where more than one group uses the same system. It explains how to share and merge model weights to meet the needs of different groups who all use the same machine learning service.

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TECHCOMMUNITY.MICROSOFT.COM SLM Model Weight Merging for Federated Multi-tenant Requirements | Microsoft Community Hub Model merging is a technique for combining the model parameters of multiple models, specifically finetuned variants of a common base model, into a single...
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