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In diesem Modul erfahren Sie mehr über GenAI-Anwendungen und die Arten von Anwendungen, für die sich die generative KI am besten eignet. Sie lernen außerdem die Foundation Models kennen, die Google bereitstellt, und erfahren, welche Herausforderungen es beim Erstellen von Anwendungen mit generativer KI gibt.

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In diesem Modul lernen Sie mehr über generative KI-Prompts. Ein Prompt ist eine Anfrage in natürlicher Sprache, die an ein Sprachmodell gesendet wird, um eine Antwort zu erhalten. Sie können Prompts so entwerfen, dass die Ergebnisse verbessert werden, die das Modell zurückgibt.

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In diesem Modul testen Sie Vertex AI Studio. Dieses Produkt bietet Tools, mit denen sich schnell Prototypen erstellen, Modelle mit Ihren eigenen Daten abstimmen und nahtlos in Anwendungen bereitstellen lassen. Sie lernen die multimodalen Funktionen von Gemini kennen, erstellen Prompts und generieren Unterhaltungen.

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In diesem Modul lernen Sie, wie Sie die Accuracy von Foundation Models verbessern. Sie lernen außerdem Retrieval-Augmented Generation kennen, kurz RAG, eine Methode zum Fundieren eines Foundation Models anhand von externen Wissensquellen. Darüber hinaus zeigen wir Ihnen ein Beispiel für eine RAG-fähige GenAI-Lösungsarchitektur in Google Cloud.

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In diesem Modul entwickeln Sie eine Chat-Anwendung, die Large Language Models (LLMs) und Retrieval-Augmented Generation (RAG) nutzt, um interessante und informative Unterhaltungen zu generieren.

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Link zu den Lektions-PDFs

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Auf generativer KI basierende Anwendungen in Google Cloud entwickeln