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7min chapter
KI vor dem Kollaps - Künstliche Daten korrumpieren Sprachmodelle
KI verstehen
Herausforderungen beim Training großer Sprachmodelle
In diesem Kapitel wird die Problematik des Modellkollapses durch synthetische Daten während des Trainings großer Sprachmodelle behandelt. Es wird erläutert, wie Verzerrungen und fehlende repräsentative Daten die Qualität der Antworten beeinträchtigen und potenziell schwerwiegende Folgen haben können.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode