Pipelines

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Glossary

Modell-Verkettung

Die Modell-Verkettung ist eine Methode des maschinellen Lernens, bei der mehrere Modelle sequenziell miteinander verbunden werden, sodass die Ausgabe eines Modells als Eingabe für das nächste Modell dient. Dieser Ansatz verbessert die Modularität, Flexibilität und Skalierbarkeit für komplexe Aufgaben in KI, LLMs und Unternehmensanwendungen.

AI Machine Learning Model Chaining +4
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