Tokenization in natural language processing can be sensitive to language-specific rules; a simple space-based tokenizer will fail miserably with languages like Chinese which don't use spaces between words.
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Explainable AI (XAI) isn't just about creating understandable models; a significant part of XAI research focuses on understanding *why* humans find certain explanations more satisfying or trustworthy than others.
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SDN's centralized control plane allows for network-wide changes to be implemented much faster than traditional methods, potentially in seconds instead of minutes or hours.
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