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Researchers discover how AI models process time-specific knowledge

Researchers have identified special components called "temporal heads" in large language models that are responsible for processing time-dependent information and are crucial for how AI systems deal with time-changing facts.<br /> The temporal heads respond not only to direct year information, but also to descriptive time information, suggesting that they encode a temporal dimension that goes beyond mere numerical representation.<br /> The discovery could make it possible to specifically update time-dependent knowledge in AI systems without having to retrain the entire model.<br /> The article Researchers discover how AI models process time-specific knowledge appeared first on THE DECODER.

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