error handling and fault tolerance in ai

Error handling in AI refers to the ability of an AI system to detect and resolve errors or unexpected situations that may occur during its operation. It involves implementing techniques and strategies to prevent the AI from failing or producing incorrect results when faced with faulty input, limited resources, or uncertain conditions. On the other hand, fault tolerance in AI refers to the system's ability to continue functioning even if certain components or processes fail. It involves designing AI systems in a way that enables them to gracefully degrade or adapt in the presence of faults, ensuring reliable and uninterrupted performance. In summary, error handling focuses on identifying and dealing with errors, while fault tolerance is about maintaining system functionality despite failures. Both aspects are crucial for creating robust and reliable AI systems.

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