Retrieval-Augmented Generation (RAG)

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