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Fueling AI Innovation – The Role of Data in Machine Learning – TechNewsTab
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Current language models such as those based on transformers have achieved impressive advances, but they have a fundamental limitation: they cannot learn from new interactions after they have been trained. This makes them static systems, unable to update their knowledge or acquire lasting skills from new data. They are like students who, after completing the course, can no longer learn more, except what they remember in the short term. Although t…
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