Retrieval-Augmented Generation (RAG)

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