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このモジュールでは、生成 AI アプリケーションについて学び、生成 AI の力を活用できるアプリケーションの種類について理解を深めます。また、Google が提供する基盤モデルや、アプリケーションで生成 AI を利用する際に生じる課題についても学びます。

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このモジュールでは、生成 AI のプロンプトについて学びます。プロンプトとは、言語モデルに回答を要求するために送信される、自然言語のリクエストです。プロンプトを設計することで、モデルから返される結果の質を高めることができます。

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このモジュールでは、Vertex AI Studio を試します。Vertex AI Studio により、プロトタイプの迅速な作成、独自のデータを使用したモデルのチューニング、アプリケーションへのシームレスなデプロイを行うためのツールが提供されます。また、Gemini のマルチモーダル機能について確認し、プロンプトを設計して、会話を生成します。

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このモジュールでは、基盤モデルの精度を向上させる方法を学び、外部の知識源を用いて基盤モデルをグラウンディングする手法、検索拡張生成（RAG）について学習します。また、Google Cloud での RAG 対応生成 AI ソリューションアーキテクチャの例もご紹介します。

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このモジュールでは、大規模言語モデル（LLM）と検索拡張生成（RAG）を使用して、魅力的で有益な会話を生み出すチャットアプリケーションを構築します。

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レッスン内容の PDF へのリンク

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03

Google Cloud での生成 AI アプリの作成