Retrieval-Augmented Generation (RAG)

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