Retrieval-Augmented Generation (RAG)

applications analyse erzeugen llm powerful engineering platform prozess daten generieren generation information specific modell cases language zeigt tools technology layers output performance leistung retrieval input tokenization optimieren llms tuning lage models work results informationen methode methods text digital method benchmark systems fine-tuning zero-shot technik model tool vergleich datasets dataset intelligenz contact times improve selection optimization quality deep creating based learning umfasst situation large user hyperparameter asset augmented key machine rag security ergebnisse system learn analysis genauigkeit algorithm content knowledge development training people prozent entwicklung code study deutschland algorithmen process modelle entwicklungen ki-modelle optimierung data fähigkeit künstliche improved project modells point