Retrieval-Augmented Generation (RAG)

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