Model Collapse

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Glossary

Modell-Kollaps

Modell-Kollaps ist ein Phänomen in der künstlichen Intelligenz, bei dem ein trainiertes Modell im Laufe der Zeit abbaut, insbesondere wenn es sich auf synthetische oder von KI generierte Daten stützt. Dies führt zu einer geringeren Vielfalt der Ausgaben, sicheren Antworten und einer verminderten Fähigkeit, kreative oder originelle Inhalte zu erzeugen.

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