Synchronize
Synchronize refers to the process of ensuring that multiple data sources or systems are consistent with each other. In data science, synchronization is crucial when working with distributed systems, where data is stored across multiple nodes. Synchronization ensures that all nodes have the same version of the data, and any changes made to the data are propagated to all nodes. This is important for ensuring data integrity and consistency. In artificial intelligence, synchronization is important when training models on multiple machines or GPUs. The weights and biases of the model need to be synchronized across all machines to ensure that the model is consistent and accurate. Synchronization can be achieved through various techniques such as locking, versioning, and conflict resolution.
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