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Stanford's SOMA Slashes AI Training Noise by Sharding Models Into Expert Shards
A new architecture called SOMA shards models into independent experts, slashing the gradient variance that has blocked zero-order methods from scaling to pretraining.
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AlphaSignal
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AlphaSignal Newsroom
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1 min read
A new architecture called SOMA shards models into independent experts, slashing the gradient variance that has blocked zero-order methods from scaling to pretraining.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
