Retrieval-Augmented Generation (RAG)

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