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Proposes DiLoCo, a distributed optimization algorithm that enables training large language models across poorly connected devices with 500x less communication while matching fully synchronous performance.
DeepMind introduces Decoupled DiLoCo, a new distributed AI training architecture that enables resilient, low-bandwidth training of large models across globally dispersed data centers by isolating hardware failures.