Fault-tolerant
Fault-tolerant refers to the ability of a system to continue functioning properly in the event of the failure of one or more of its components. In data science and artificial intelligence, fault-tolerant systems are critical for ensuring the reliability and accuracy of results. This is particularly important in large-scale distributed systems, where failures are more likely to occur due to the sheer number of components involved. Fault-tolerant systems typically use redundancy and error detection and correction techniques to ensure that any failures are detected and corrected as quickly as possible, without disrupting the overall system. This can include techniques such as replication, checkpointing, and self-healing algorithms.
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