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Dieses Buch ist mehr als nur eine Einführung: Es ist ein Werkzeugkasten für Entwickler, Datenwissenschaftler und KI-Enthusiasten, die generative Modelle nicht nur verstehen, sondern auch effektiv in realen Projekten einsetzen möchten. Erfahren Sie, wie Transformer-Architekturen, GANs, VAEs und Diffusionsmodelle funktionieren - und wie Sie diese Technologien zur Lösung konkreter Herausforderungen im maschinellen Lernen einsetzen können. Mit Schritt-für-Schritt-Anleitungen, Python-Codebeispielen und praxisnahen Szenarien begleitet dieses Werk Sie durch die komplexe, faszinierende Welt der generativen KI. Ob im Gesundheitswesen, in der Industrie oder der kreativen Content-Erstellung - entdecken Sie, wie Sie mit Generativer KI nicht nur Innovation vorantreiben, sondern auch den entscheidenden technologischen Vorsprung sichern. Modern. Verständlich. Anwendungsorientiert. Dieses Buch bringt Cutting-Edge-Forschung auf den Punkt - klar erklärt, direkt umsetzbar. 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